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Dunn MR, Metwally EM, Vohra S, Hyslop T, Henderson LM, Reeder-Hayes K, Thompson CA, Lafata JE, Troester MA, Butler EN. Understanding mechanisms of racial disparities in breast cancer: an assessment of screening and regular care in the Carolina Breast Cancer Study. Cancer Causes Control 2024; 35:825-837. [PMID: 38217760 PMCID: PMC11045315 DOI: 10.1007/s10552-023-01833-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/16/2023] [Indexed: 01/15/2024]
Abstract
PURPOSE Screening history influences stage at detection, but regular preventive care may also influence breast tumor diagnostic characteristics. Few studies have evaluated healthcare utilization (both screening and primary care) in racially diverse screening-eligible populations. METHODS This analysis included 2,058 women age 45-74 (49% Black) from the Carolina Breast Cancer Study, a population-based cohort of women diagnosed with invasive breast cancer between 2008 and 2013. Screening history (threshold 0.5 mammograms per year) and pre-diagnostic healthcare utilization (i.e. regular care, based on responses to "During the past ten years, who did you usually see when you were sick or needed advice about your health?") were assessed as binary exposures. The relationship between healthcare utilization and tumor characteristics were evaluated overall and race-stratified. RESULTS Among those lacking screening, Black participants had larger tumors (5 + cm) (frequency 19.6% vs 11.5%, relative frequency difference (RFD) = 8.1%, 95% CI 2.8-13.5), but race differences were attenuated among screening-adherent participants (10.2% vs 7.0%, RFD = 3.2%, 0.2-6.2). Similar trends were observed for tumor stage and mode of detection (mammogram vs lump). Among all participants, those lacking both screening and regular care had larger tumors (21% vs 8%, RR = 2.51, 1.76-3.56) and advanced (3B +) stage (19% vs 6%, RR = 3.15, 2.15-4.63) compared to the referent category (screening-adherent and regular care). Under-use of regular care and screening was more prevalent in socioeconomically disadvantaged areas of North Carolina. CONCLUSIONS Access to regular care is an important safeguard for earlier detection. Our data suggest that health equity interventions should prioritize both primary care and screening.
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Affiliation(s)
- Matthew R Dunn
- Department of Epidemiology, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
| | - Eman M Metwally
- Department of Epidemiology, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Sanah Vohra
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- David Geffen School of Medicine, University of California, Los Angeles, USA
| | - Terry Hyslop
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Louise M Henderson
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Division of Pulmonary Disease and Critical Care Medicine, Department of Radiology, University of North Carolina, Chapel Hill, NC, USA
| | - Katherine Reeder-Hayes
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Division of Oncology, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Caroline A Thompson
- Department of Epidemiology, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Jennifer Elston Lafata
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA
| | - Melissa A Troester
- Department of Epidemiology, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC, USA.
| | - Eboneé N Butler
- Department of Epidemiology, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
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Chen N, McGrath CB, Ericsson CI, Vaselkiv JB, Rencsok EM, Stopsack KH, Guard HE, Autio KA, Rathkopf DE, Enting D, Bitting RL, Mateo J, Githiaka CW, Chi KN, Cheng HH, Davis ID, Anderson SG, Badal SAM, Bjartell A, Russnes KM, Heath EI, Pomerantz MM, Henegan JC, Hyslop T, Esteban E, Omlin A, McDermott R, Fay AP, Popoola AA, Ragin C, Nowak J, Gerke T, Kantoff PW, George DJ, Penney KL, Mucci LA. Marital Status, Living Arrangement, and Survival among Individuals with Advanced Prostate Cancer in the International Registry for Men with Advanced Prostate Cancer. Cancer Epidemiol Biomarkers Prev 2024; 33:419-425. [PMID: 38189661 PMCID: PMC10922505 DOI: 10.1158/1055-9965.epi-23-1207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/15/2023] [Accepted: 01/03/2024] [Indexed: 01/09/2024] Open
Abstract
BACKGROUND Studies have shown improved survival among individuals with cancer with higher levels of social support. Few studies have investigated social support and overall survival (OS) in individuals with advanced prostate cancer in an international cohort. We investigated the associations of marital status and living arrangements with OS among individuals with advanced prostate cancer in the International Registry for Men with Advanced Prostate Cancer (IRONMAN). METHODS IRONMAN is enrolling participants diagnosed with advanced prostate cancer (metastatic hormone-sensitive prostate cancer, mHSPC; castration-resistant prostate cancer, CRPC) from 16 countries. Participants in this analysis were recruited between July 2017 and January 2023. Adjusting for demographics and tumor characteristics, the associations were estimated using Cox regression and stratified by disease state (mHSPC, CRPC), age (<70, ≥70 years), and continent of enrollment (North America, Europe, Other). RESULTS We included 2,119 participants with advanced prostate cancer, of whom 427 died during up to 5 years of follow-up (median 6 months). Two-thirds had mHSPC. Most were married/in a civil partnership (79%) and 6% were widowed. Very few married participants were living alone (1%), while most unmarried participants were living alone (70%). Married participants had better OS than unmarried participants [adjusted HR: 1.44; 95% confidence interval (CI): 1.02-2.02]. Widowed participants had the worst survival compared with married individuals (adjusted HR: 1.89; 95% CI: 1.22-2.94). CONCLUSIONS Among those with advanced prostate cancer, unmarried and widowed participants had worse OS compared with married participants. IMPACT This research highlighted the importance of social support in OS within this vulnerable population.
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Affiliation(s)
- Naiyu Chen
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Colleen B. McGrath
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Caroline I. Ericsson
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jane B. Vaselkiv
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Emily M. Rencsok
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA, USA
| | - Konrad H. Stopsack
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Hannah E. Guard
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Karen A. Autio
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dana E. Rathkopf
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Joaquin Mateo
- Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron University Hospital Campus, Barcelona, Spain
| | | | - Kim N. Chi
- BC Cancer, Vancouver, British Columbia, Canada
| | - Heather H. Cheng
- University of Washington and Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ian D. Davis
- Monash University Faculty of Medicine, Melbourne, Australia
- Eastern Health, Melbourne, Australia
| | - Simon G. Anderson
- The Glasgow-Caribbean Centre for Development Research and the Caribbean Institute of Health Research, The University of the West Indies, Bridgetown, Barbados
- African–Caribbean Cancer Consortium, Philadelphia, PA, USA
| | - Simone Ann Marie Badal
- African–Caribbean Cancer Consortium, Philadelphia, PA, USA
- The University of the West Indies Mona, Kingston, Jamaica
| | - Anders Bjartell
- Department of Urology, Skåne University Hospital, Malmö, Sweden
| | | | - Elisabeth I. Heath
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA
| | - Mark M. Pomerantz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - John C. Henegan
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Terry Hyslop
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA
| | - Emilio Esteban
- Department of Medical Oncology, Hospital Universitario Central of Asturias, ISPA, Oviedo, Spain
| | | | - Ray McDermott
- St Vincent’s University Hospital & Cancer Trials Ireland, Dublin, Ireland
| | - Andre P. Fay
- PUCRS School of Medicine, Hospital Nora Teixeira, Porto Alegre, Brazil
| | | | - Camille Ragin
- African–Caribbean Cancer Consortium, Philadelphia, PA, USA
- Fox Chase Cancer Center, Philadelphia, PA
| | | | - Travis Gerke
- Prostate Cancer Clinical Trials Consortium, New York, NY, USA
| | - Philip W. Kantoff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Kathryn L. Penney
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Lorelei A. Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Van Alsten SC, Dunn MR, Hamilton AM, Ivory JM, Gao X, Kirk EL, Nsonwu-Farley JS, Carey LA, Abdou Y, Reeder-Hayes KE, Roberson ML, Wheeler SB, Emerson MA, Hyslop T, Troester MA. Disparities in OncotypeDx Testing and Subsequent Chemotherapy Receipt by Geography and Socioeconomic Status. Cancer Epidemiol Biomarkers Prev 2024:733783. [PMID: 38270534 DOI: 10.1158/1055-9965.epi-23-1201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/07/2023] [Accepted: 01/23/2024] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND OncotypeDx is a prognostic and predictive genomic assay used in early-stage hormone receptor positive, human epidermal growth factor receptor 2-negative (HR+/HER2-) breast cancer. It is used to inform adjuvant chemotherapy decisions, but not all eligible women receive testing. We aimed to assess variation in testing by demographics and geography, and to determine whether testing was associated with chemotherapy. METHODS For 1,615 women in the Carolina Breast Cancer Study with HR+/HER2-, Stage I-II tumors, we estimated prevalence differences (PDs) and 95% CIs for receipt of OncotypeDx genomic testing in association with and sociodemographic characteristics. We assessed associations between testing and chemotherapy receipt overall and by race. Finally, we calculated the proportion of eligible women receiving OncotypeDx by county-level rurality, census tract-level socioeconomic status, and Area Health Education Center (AHEC) regions. RESULTS 38% (N=609) of potentially eligible women were tested, with lower testing prevalences in Black (31%; PD = -11%, 95% CI: -16%, 6%) and low-income women (24%; PD = -20%, 95% CI: -29%, -11%) relative to non-Black and higher income women. Urban participants were less likely to be tested than rural participants, though this association varied by region. Among women with low genomic risk tumors, tested participants were 29% less likely to receive chemotherapy than untested participants (95% CI: -40%, -17%). Racial differences in chemotherapy were restricted to untested women. CONCLUSIONS Both individual and area-level socioeconomics predict likelihood of OncotypeDx testing. IMPACT Variable adoption of OncotypeDx by socioeconomics and across geographic settings may contribute to excess chemotherapy among HR+/HER2- patients.
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Affiliation(s)
| | - Matthew R Dunn
- University of North Carolina at Chapel Hill, United States
| | - Alina M Hamilton
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Xiaohua Gao
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Erin L Kirk
- University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | | | - Lisa A Carey
- University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Yara Abdou
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Mya L Roberson
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | | | - Marc A Emerson
- University of North Carolina at Chapel Hill, Durham, NC, United States
| | - Terry Hyslop
- Thomas Jefferson University, Philadelphia, PA, United States
| | - Melissa A Troester
- University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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4
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Garman KS, Brown H, Alagesan P, McCall SJ, Patierno S, Wang Q, Wang F, Hyslop T, Epplein M. Helicobacter pylori testing prior to or at gastric cancer diagnosis and survival in a diverse US patient population. Gastric Cancer 2024; 27:28-35. [PMID: 37985571 PMCID: PMC10842898 DOI: 10.1007/s10120-023-01448-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Gastric cancer (GC) accounts for the greatest disparity in cancer mortality between Black and White Americans. Although clinical trials have shown that Helicobacter pylori (Hp) treatment reduces risk of GC, Hp testing and treatment is not consistently performed in the US, and may offer an opportunity to improve survival. METHODS In a diverse retrospective cohort of 99 GC cases diagnosed at Duke University from 2002-2020 (57% Black; 43% white), we examined the association of Hp testing and treatment prior to or at cancer diagnosis with overall survival using Cox regression analyses to calculate adjusted hazards ratios (HRs) and 95% confidence intervals (CIs). RESULTS Overall, 62% of patients were tested for Hp prior to or at GC diagnosis. Of those, 25% tested positive and were treated < 1 year prior to or at diagnosis, 15% tested positive and were treated ≥ 1 year prior to diagnosis, 6% tested positive without evidence of treatment, and 54% tested negative. Compared to never tested, Hp testing and treatment < 1 year prior to or at diagnosis was associated with a significantly reduced likelihood of death (HR 0.21, 95% CI 0.08-0.58). The benefit of any Hp test and treat prior to or at GC diagnosis was significant even among stage IV patients only (HR, 0.22; 95% CI 0.05-0.96). CONCLUSIONS These findings support Hp testing and treatment for patients at risk of or diagnosed with GC, and suggest Hp treatment may provide an opportunity to reduce GC mortality disparities in the US.
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Affiliation(s)
- Katherine S Garman
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, NC, USA
- Cancer Risk, Detection, and Interception Program, Duke Cancer Institute, 2424 Erwin Road, Suite 602, Durham, NC, 27705, USA
| | | | | | | | - Steven Patierno
- Cancer Risk, Detection, and Interception Program, Duke Cancer Institute, 2424 Erwin Road, Suite 602, Durham, NC, 27705, USA
- Departments of Medicine, Family Medicine and Community Health, and Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Qichen Wang
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA
| | - Frances Wang
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA
| | - Terry Hyslop
- Cancer Risk, Detection, and Interception Program, Duke Cancer Institute, 2424 Erwin Road, Suite 602, Durham, NC, 27705, USA
- Department of Biostatistics & Bioinformatics, Duke University, Durham, NC, USA
- Department of Biostatistics, Thomas Jefferson University, Philadelphia, PA, USA
| | - Meira Epplein
- Cancer Risk, Detection, and Interception Program, Duke Cancer Institute, 2424 Erwin Road, Suite 602, Durham, NC, 27705, USA.
- Department of Population Health Sciences, Duke University, Durham, NC, USA.
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5
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Charpignon ML, Carrel A, Jiang Y, Kwaga T, Cantada B, Hyslop T, Cox CE, Haines K, Koomson V, Dumas G, Morley M, Dunn J, Ian Wong AK. Going beyond the means: Exploring the role of bias from digital determinants of health in technologies. PLOS Digit Health 2023; 2:e0000244. [PMID: 37824494 PMCID: PMC10569586 DOI: 10.1371/journal.pdig.0000244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
BACKGROUND In light of recent retrospective studies revealing evidence of disparities in access to medical technology and of bias in measurements, this narrative review assesses digital determinants of health (DDoH) in both technologies and medical formulae that demonstrate either evidence of bias or suboptimal performance, identifies potential mechanisms behind such bias, and proposes potential methods or avenues that can guide future efforts to address these disparities. APPROACH Mechanisms are broadly grouped into physical and biological biases (e.g., pulse oximetry, non-contact infrared thermometry [NCIT]), interaction of human factors and cultural practices (e.g., electroencephalography [EEG]), and interpretation bias (e.g, pulmonary function tests [PFT], optical coherence tomography [OCT], and Humphrey visual field [HVF] testing). This review scope specifically excludes technologies incorporating artificial intelligence and machine learning. For each technology, we identify both clinical and research recommendations. CONCLUSIONS Many of the DDoH mechanisms encountered in medical technologies and formulae result in lower accuracy or lower validity when applied to patients outside the initial scope of development or validation. Our clinical recommendations caution clinical users in completely trusting result validity and suggest correlating with other measurement modalities robust to the DDoH mechanism (e.g., arterial blood gas for pulse oximetry, core temperatures for NCIT). Our research recommendations suggest not only increasing diversity in development and validation, but also awareness in the modalities of diversity required (e.g., skin pigmentation for pulse oximetry but skin pigmentation and sex/hormonal variation for NCIT). By increasing diversity that better reflects patients in all scenarios of use, we can mitigate DDoH mechanisms and increase trust and validity in clinical practice and research.
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Affiliation(s)
- Marie-Laure Charpignon
- Massachusetts Institute of Technology; Institute for Data, Systems, and Society; Laboratory for Information and Decision Systems, Boston, Massachusetts, United States of America
| | - Adrien Carrel
- CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France
- Imperial College London, London, United Kingdom
| | - Yihang Jiang
- Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States of America
| | - Teddy Kwaga
- Mbarara University of Science and Technology, Department of Ophthalmology, Mbarara, Uganda
| | - Beatriz Cantada
- Massachusetts Institute of Technology; Institute Community and Equity Office, Boston, Massachusetts, United States of America
| | - Terry Hyslop
- Duke University, Department of Biostatistics and Bioinformatics, Durham, North Carolina, United States of America
| | - Christopher E. Cox
- Duke University, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham, North Carolina, United States of America
| | - Krista Haines
- Duke University, Department of Surgery, Durham, North Carolina, United States of America
| | - Valencia Koomson
- Tufts University, Department of Electrical and Computer Engineering, Boston, Massachusetts, United States of America
| | - Guillaume Dumas
- CHU Sainte-Justine Research Center, Department of Psychiatry, Université de Montréal, Montréal, Quebec, Canada
- Mila–Quebec AI Institute, University of Montreal, Montréal, Quebec, Canada
| | - Michael Morley
- Ophthalmic Consultants of Boston, Boston, Massachusetts, United States of America
- Assistant Clinical Professor of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jessilyn Dunn
- Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States of America
- Duke University, Department of Biostatistics and Bioinformatics, Durham, North Carolina, United States of America
| | - An-Kwok Ian Wong
- Duke University, Department of Biostatistics and Bioinformatics, Durham, North Carolina, United States of America
- Duke University, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Durham, North Carolina, United States of America
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7
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KC M, Fan J, Hyslop T, Hassan S, Cecchini M, Wang SY, Silber A, Leapman MS, Leeds I, Wheeler SB, Spees LP, Gross CP, Lustberg M, Greenup RA, Justice AC, Oeffinger KC, Dinan MA. Relative Burden of Cancer and Noncancer Mortality Among Long-Term Survivors of Breast, Prostate, and Colorectal Cancer in the US. JAMA Netw Open 2023; 6:e2323115. [PMID: 37436746 PMCID: PMC10339147 DOI: 10.1001/jamanetworkopen.2023.23115] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 05/28/2023] [Indexed: 07/13/2023] Open
Abstract
Importance Improvements in cancer outcomes have led to a need to better understand long-term oncologic and nononcologic outcomes and quantify cancer-specific vs noncancer-specific mortality risks among long-term survivors. Objective To assess absolute and relative cancer-specific vs noncancer-specific mortality rates among long-term survivors of cancer, as well as associated risk factors. Design, Setting, and Participants This cohort study included 627 702 patients in the Surveillance, Epidemiology, and End Results cancer registry with breast, prostate, or colorectal cancer who received a diagnosis between January 1, 2003, and December 31, 2014, who received definitive treatment for localized disease and who were alive 5 years after their initial diagnosis (ie, long-term survivors of cancer). Statistical analysis was conducted from November 2022 to January 2023. Main Outcomes and Measures Survival time ratios (TRs) were calculated using accelerated failure time models, and the primary outcome of interest examined was death from index cancer vs alternative (nonindex cancer) mortality across breast, prostate, colon, and rectal cancer cohorts. Secondary outcomes included subgroup mortality in cancer-specific risk groups, categorized based on prognostic factors, and proportion of deaths due to cancer-specific vs noncancer-specific causes. Independent variables included age, sex, race and ethnicity, income, residence, stage, grade, estrogen receptor status, progesterone receptor status, prostate-specific antigen level, and Gleason score. Follow-up ended in 2019. Results The study included 627 702 patients (mean [SD] age, 61.1 [12.3] years; 434 848 women [69.3%]): 364 230 with breast cancer, 118 839 with prostate cancer, and 144 633 with colorectal cancer who survived 5 years or more from an initial diagnosis of early-stage cancer. Factors associated with shorter median cancer-specific survival included stage III disease for breast cancer (TR, 0.54; 95% CI, 0.53-0.55) and colorectal cancer (colon: TR, 0.60; 95% CI, 0.58-0.62; rectal: TR, 0.71; 95% CI, 0.69-0.74), as well as a Gleason score of 8 or higher for prostate cancer (TR, 0.61; 95% CI, 0.58-0.63). For all cancer cohorts, patients at low risk had at least a 3-fold higher noncancer-specific mortality compared with cancer-specific mortality at 10 years of diagnosis. Patients at high risk had a higher cumulative incidence of cancer-specific mortality than noncancer-specific mortality in all cancer cohorts except prostate. Conclusions and Relevance This study is the first to date to examine competing oncologic and nononcologic risks focusing on long-term adult survivors of cancer. Knowledge of the relative risks facing long-term survivors may help provide pragmatic guidance to patients and clinicians regarding the importance of ongoing primary and oncologic-focused care.
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Affiliation(s)
- Madhav KC
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
| | - Jane Fan
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - Terry Hyslop
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Sirad Hassan
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
| | - Michael Cecchini
- Section of Medical Oncology, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Shi-Yi Wang
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
| | - Andrea Silber
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Michael S. Leapman
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
- Department of Urology, Yale University School of Medicine, New Haven, Connecticut
| | - Ira Leeds
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Stephanie B. Wheeler
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill
| | - Lisa P. Spees
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill
| | - Cary P. Gross
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Maryam Lustberg
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Rachel A. Greenup
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Amy C. Justice
- Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Kevin C. Oeffinger
- Department of Population Health Sciences, Duke University, Durham, North Carolina
- Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Michaela A. Dinan
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, Connecticut
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut
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8
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Piwarski SA, Allen T, LaCroix B, Howard L, Paul M, Bachelder N, Sibley A, Patierno S, Hyslop T, Owzar K, George D, Freedman J. Abstract 984: Race- and ancestry-related metabolites and SNPs associated with response to secondary hormonal therapy in metastatic castration-resistant prostate cancer. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
The number of new cases and deaths from prostate cancer (PCa) is highest for Black men compared with other racial and ethnic groups, and Black PCa patients have a shorter average survival as well as a greater risk of tumor recurrence than men of other racial and ethnic groups. However, recent studies have shown that Black PCa patients have a better response to certain therapeutic regimens than White PCa patients. This study focuses on addressing the critical need to determine novel relationships between ancestry-related genetic variation and PCa aggressiveness and response to secondary hormonal therapy in metastatic castration-resistant PCa (mCRPC). We conducted correlative science in a DoD Prostate Cancer Clinical Trials Consortium (PCCTC) prospective multicenter study of secondary hormonal therapy in mCRPC stratified by race, Abi Race. This study enrolled 50 self-reported Black and 50 self-reported White mCRPC patients, and such patients received abiraterone and prednisone until disease progression or adverse event. We performed metabolic profiling using serum samples from fasting patients at baseline and after treatment. In addition, we performed genome-wide genotyping using genomic DNA from whole blood specimens from patients at baseline. We then identified race- and ancestry-related metabolite and SNP variations that associated with outcome using a penalized Cox model approach. In addition, we used Ingenuity Pathway Analysis (IPA) and Lasso Analysis to further study race-related metabolites and SNPs. From these analyses, we identified sphingolipids such as ceramide as race-related metabolites associated with outcome as well as SNPs in Sphingosine Kinase Type 1-Interacting Protein (SKIP) associated with outcome. In addition, our analyses suggest that sphingolipids such as ceramides and SKIP may regulate cancer-related biofunctions differently in Black and White mCRPC patients undergoing abiraterone treatment. Both sphingolipids and SKIP are components of the Sphingosine Rheostat, the regulatory component of sphingolipid cellular metabolism often exploited by various cancers, in which ceramides displays a pro-apoptotic role whereas sphingosine-1-phosphate (S1P) is associated with an anti-apoptotic role and is indirectly regulated by SKIP via regulating the activity of Sphingosine Kinase (SPK1). Evaluation of the function of these sphingolipids and SKIP in PCa cell drug response and aggressiveness are currently underway. These findings are furthering understanding of race- and ancestry-related biological factors that influence response to secondary hormonal therapy in mCRPC and have the potential to impact selection of patients for secondary hormonal therapy and to mitigate PCa disparity.
Citation Format: Sean Alan Piwarski, Tyler Allen, Bonnie LaCroix, Lauren Howard, Morgan Paul, Nick Bachelder, Alex Sibley, Steve Patierno, Terry Hyslop, Kouros Owzar, Daniel George, Jennifer Freedman. Race- and ancestry-related metabolites and SNPs associated with response to secondary hormonal therapy in metastatic castration-resistant prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 984.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Terry Hyslop
- 2Jefferson Health's Sidney Kimmel Cancer Center, Baltimore, MD
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9
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Fayanju OM, Oyekunle T, Thomas SM, Ingraham KL, Fish LJ, Greenup RA, Oeffinger KC, Zafar SY, Hyslop T, Hwang ES, Patierno SR, Barrett NJ. Modifiable patient-reported factors associated with cancer-screening knowledge and participation in a community-based health assessment. Am J Surg 2023; 225:617-629. [PMID: 36411107 PMCID: PMC10085670 DOI: 10.1016/j.amjsurg.2022.10.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/25/2022] [Accepted: 10/28/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND We sought to identify modifiable factors associated with cancer screening in a community-based health assessment. METHODS 24 organizations at 47 community events in central North Carolina distributed a 91-item survey from April-December 2017. Responses about (1) interest in disease prevention, (2) lifestyle choices (e.g., diet, tobacco), and (3) perceptions of primary care access/quality were abstracted to examine their association with self-reported screening participation and knowledge about breast, prostate, and colorectal cancer. RESULTS 2135/2315 participants (92%; 38.5% White, 38% Black, 9.9% Asian) completed screening questions. >70% of screen-eligible respondents reported guideline-concordant screening. Healthy dietary habits were associated with greater knowledge about breast and colorectal cancer screening; reporting negative attitudes about and barriers to healthcare were associated with less breast, prostate, and colorectal cancer screening. Having a place to seek medical care (a proxy for primary care access) was independently associated with being ∼5 times as likely to undergo colorectal screening (OR 4.66, 95% CI 1.58-13.79, all p < 0.05). CONCLUSIONS In this diverse, community-based sample, modifiable factors were associated with screening engagement, highlighting opportunities for behavioral intervention.
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Affiliation(s)
- Oluwadamilola M Fayanju
- Department of Surgery, Duke University Medical Center, Box 3513, Durham, NC, 27710, USA; Duke Cancer Institute, Durham, NC, 27710, USA; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA; Duke Forge, Duke University, Durham, NC, 27710, USA; Durham VA Medical Center, 508 Fulton St, Durham, NC, 27705, USA.
| | - Taofik Oyekunle
- Duke Cancer Institute, Durham, NC, 27710, USA; Durham VA Medical Center, 508 Fulton St, Durham, NC, 27705, USA
| | - Samantha M Thomas
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Box 2717, Durham, NC, 27710, USA
| | | | - Laura J Fish
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Family Medicine and Community Health, Duke University Medical Center, Box 2914, Durham, NC, 27710, USA
| | - Rachel A Greenup
- Department of Surgery, Duke University Medical Center, Box 3513, Durham, NC, 27710, USA; Duke Cancer Institute, Durham, NC, 27710, USA; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA; Duke Margolis Center for Health Policy, Duke University, Durham, NC, 27708, USA
| | - Kevin C Oeffinger
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Medicine, Duke University Medical Center, Box 3893, Durham, NC, 27710, USA
| | - S Yousuf Zafar
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Population Health Sciences, Duke University School of Medicine, 215 Morris Street, Durham, NC, 27701, USA; Duke Margolis Center for Health Policy, Duke University, Durham, NC, 27708, USA; Department of Medicine, Duke University Medical Center, Box 3893, Durham, NC, 27710, USA; Change Healthcare, 216 Centerview Dr #300, Nashville, TN, 37219, USA
| | - Terry Hyslop
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Box 2717, Durham, NC, 27710, USA
| | - E Shelley Hwang
- Department of Surgery, Duke University Medical Center, Box 3513, Durham, NC, 27710, USA; Duke Cancer Institute, Durham, NC, 27710, USA
| | - Steven R Patierno
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Medicine, Duke University Medical Center, Box 3893, Durham, NC, 27710, USA
| | - Nadine J Barrett
- Duke Cancer Institute, Durham, NC, 27710, USA; Department of Family Medicine and Community Health, Duke University Medical Center, Box 2914, Durham, NC, 27710, USA; Duke Clinical and Translation Science Institute, Duke University School of Medicine, Durham, NC, 27710, USA
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10
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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Fayanju OM, Greenup RA, Zafar SY, Hyslop T, Hwang ES, Fish LJ. Modifiable Barriers and Facilitators for Breast Cancer Care: A Thematic Analysis of Patient and Provider Perspectives. J Surg Res 2023; 284:269-279. [PMID: 36610386 PMCID: PMC10020986 DOI: 10.1016/j.jss.2022.11.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/14/2022] [Accepted: 11/16/2022] [Indexed: 01/06/2023]
Abstract
INTRODUCTION We sought to examine patient and provider perspectives regarding modifiable contributors to breast cancer treatment and to assess perceptual alignment between these two groups. MATERIALS Participants were women≥18 y with stage 0-IV breast cancer who received all oncologic care in a single health system and physicians and advanced practice providers who provided medical, radiation, or surgical oncology care for breast cancer. All completed ∼45-min semistructured interviews that were recorded and transcribed verbatim. A 5-stage approach to thematic analysis was conducted, with emergent themes and exemplar quotes placed into clinical, psychological, social/logistical, financial, and lifestyle categories using a multilevel conceptual framework. RESULTS Eighteen patients (9 Black, 9 White, and median age 60 y) and 10 providers (6 physicians and 4 advanced practice providers) were interviewed from May to November 2018. Both patients and providers perceived suboptimal communication, parking and transportation, and competing family-caregiving responsibilities as modifiable barriers to care. Treatment costs were cited by patients as barriers that were inadequately addressed even with referrals to financial counselors, but providers did not raise the issue of cost unless prompted by patients and did not feel prepared to discuss the topic when it arose. Providers cited obesity as a barrier to treatment, a view not shared by patients. CONCLUSIONS Several modifiable factors were recognized by both patients and providers as either promoting or detracting from treatment receipt, but there was also significant incongruence and asymmetry. Alignment of provider and patient perceptions regarding contributors to guideline-concordant care receipt could mitigate disparities in breast cancer treatment and outcomes.
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Affiliation(s)
- Oluwadamilola M Fayanju
- Department of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Forge, Duke University, Durham, North Carolina; Durham VA Medical Center, Durham, North Carolina.
| | - Rachel A Greenup
- Department of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - S Yousuf Zafar
- Duke Cancer Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Margolis Center for Health Policy, Duke University, Durham, North Carolina; Department of Medicine, Duke University Medical Center, Durham, North Carolina; Change Healthcare, Nashville, Tennessee
| | - Terry Hyslop
- Duke Cancer Institute, Durham, North Carolina; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, North Carolina
| | - E Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, North Carolina; Duke Cancer Institute, Durham, North Carolina
| | - Laura J Fish
- Duke Cancer Institute, Durham, North Carolina; Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina
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12
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Chaudhary LN, Chervoneva I, Peck AR, Sun Y, Yi M, Langenheim JF, Jorns JM, Kamaraju S, Cheng YC, Burfeind J, Chitambar CR, Hooke JA, Kovatich AJ, Shriver C, Hu H, Palazzo JP, Bibbo M, Hyslop T, Pestell R, Mitchell EP, Rui H. Abstract P2-11-13: High PD-L2 Protein Expression in Cancer Cells is an Independent Marker of Unfavorable Prognosis in Luminal Breast Tumors. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p2-11-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Background PD-1 inhibitors have shown significant efficacy in triple negative breast cancer (BC), however, durable responses are less common in estrogen receptor-positive (ER+) BC. Better markers are therefore needed that will identify likely responders to PD-1 inhibitors among patients with luminal BC. While most efforts have focused on the immune checkpoint protein PD-L1, the alternative PD-1 ligand, PD-L2, has been largely overlooked. We aimed to determine if PD-L2 is associated with unfavorable prognosis in ER+ BC. Methods PD-L2 protein levels in cancer cells and stromal cells were measured retrospectively by quantitative immunofluorescence histocytometry in tissue microarrays of therapy-naïve, localized or locoregional ER+ BC and correlated with progression-free survival (PFS). Evaluable tumor PD-L2 data were derived from a main study cohort A diagnosed between 1988-2005 (n=684) with extensive clinical and outcome data and from an independent validation cohort B diagnosed between 1992-2012 (n=273). Patients received standard-of-care adjuvant therapy without immune checkpoint inhibitors after tumor resection. Results Univariate analysis of the main cohort A revealed that high PD-L2 expression in cancer cells was associated with shorter PFS (HR=1.8; 95%CI:1.3-2.6; p=0.001), an observation that was validated in an independent cohort B (HR=2.3, 95%CI:1.1-4.8; p=0.026). Approximately one third of ER+ BC cases were classified as high PD-L2. After multivariable adjustment for common clinicopathological variables, high cancer cell levels of PD-L2 remained independently predictive of early recurrence (HR=2.0; 95%CI:1.4-2.9; p< 0.001). Sub-analysis of ER+ BC cases treated with adjuvant chemotherapy (n=197) suggested that high PD-L2 levels in cancer cells was associated with particularly increased risk of progression (multivariable HR=3.4; 95%CI:1.9-6.2; p< 0.001). The observed frequent expression of PD-L2 protein in BC provided scientific rationale for the design of our ongoing phase II clinical trial (NCT04243616) of neoadjuvant combined PD-1 inhibitor (cemiplimab; Regeneron Pharmaceuticals Inc) and chemotherapy in patients diagnosed with PD-L1+ and/or PD-L2+ BC. The primary objective of this trial is to assess pathologic responses to neoadjuvant treatment with secondary objective of assessing the correlation between PD-L1/PD-L2 status and tumor responses. Pathologist review of PD-L1 and PD-L2 expression in an initial set of ER+ tumors (n=15) screened for trial eligibility revealed frequent discordance between cancer cell positivity for PD-L1 and PD-L2 protein (PD-L1: median=0%; range 0-2% vs. PD-L2: median=18%; range < 1-60%) as well as immune cell positivity (PD-L1: median=5%; range 0-50% vs. PD-L2: median=0; range 0-50%). Conclusions In treatment-naïve ER+ breast tumors, high cancer cell expression of PD-L2 protein was an independent predictor of poor clinical outcome, with evidence of further elevated risk of progression in patients who received adjuvant chemotherapy. Preliminary analyses of ER+ tumors from our ongoing clinical trial showed frequent discordance between baseline PD-L1 and PD-L2 protein expression in both cancer cells and immune cells. Collectively, our analyses indicate that PD-L2 has prognostic value for ER+ BC, and our progress justify further studies to determine whether PD-L2, alone or in combination with PD-L1, may serve as a predictive marker of response to PD-1 inhibitors.
Citation Format: Lubna N. Chaudhary, Inna Chervoneva, Amy R. Peck, Yunguang Sun, Misung Yi, John F. Langenheim, Julie M. Jorns, Sailaja Kamaraju, Yee Chung Cheng, John Burfeind, Christopher R. Chitambar, Jeffrey A. Hooke, Albert J. Kovatich, Craig Shriver, Hai Hu, Juan P. Palazzo, Marluce Bibbo, Terry Hyslop, Richard Pestell, Edith P. Mitchell, Hallgeir Rui. High PD-L2 Protein Expression in Cancer Cells is an Independent Marker of Unfavorable Prognosis in Luminal Breast Tumors [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-11-13.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Hai Hu
- 15Chan Soon-Shiong Institute of Molecular Medicine at Windber
| | - Juan P. Palazzo
- 16Thomas Jefferson University Hospital, Philadelphia, Pennsylvania
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13
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Factor R, Schnitt S, West R, Hyslop T, Lynch T, Collyar D, Basila D, Grimm L, King L, Marks J, Badve S, Watson M, Ryser M, Weiss A, Rapperport A, McCall L, Le-Petross HTC, Partridge A, Hwang ES, Thompson AM. Abstract P6-04-13: Centralized adequacy assessment of ductal carcinoma in situ samples for the COMET study (AFT-25). Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p6-04-13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Introduction COMET (Comparing an Operation to Monitoring, with or without Endocrine Therapy) is a phase III clinical trial randomizing patients diagnosed with low-intermediate grade DCIS to either active monitoring or surgery. The study has a planned accrual goal of 1200 patients and is enrolling until 12/31/22. The protocol requires agreement between two pathologists (who do not need to be at the same institution) that a case fulfills COMET eligibility criteria. If there is disagreement, a third pathology review is required. As per protocol, tissue blocks or unstained slides of biopsies containing DCIS from enrolled patients are sent to a designated central location. While central pathology review is not a pre-requisite of the study, a retrospective review of received materials was performed to determine adequacy for correlative molecular and spatial profiling studies. Methods Sites submit either a tissue block or twenty (20) sequentially numbered, unstained, serial five-micron tissue sections from a diagnostic biopsy of DCIS to the Alliance Foundation Trials (AFT) central biorepository, a CAP-accredited biobank. All submitted biospecimens are de-identified (coded) and investigators are blinded to arm assignment and primary study outcomes. To evaluate the adequacy of specimens for subsequent correlative science studies, one unstained slide from each submitted slide set was stained with routine hematoxylin and eosin by the biobank, scanned at 40X magnification with an Aperio scanner, and provided to one of two expert breast pathologists for adequacy review. Slides were rated as “DCIS present”, “DCIS absent”, or “possible DCIS.” To conserve tissue, submitted tissue blocks are held in abeyance pending future correlative science planning. Results As of May 2022, tissue has been submitted from 789 of 856 eligible patients enrolled in the trial, demonstrating a very high level (92%) of case submission compliance. Despite the limiting size of such lesions and general clinical center hesitancy to release blocks for clinical trial research, tissue blocks were received from 376 of 789 (48%) of cases. Among 359 cases involving slide-only submissions that have been retrospectively reviewed to date, 294 were definite DCIS (82%), 25 (7%) were classified as possible DCIS, and 40 cases (11%) were classified as no DCIS present in the section reviewed. In no case was high grade DCIS or invasive breast cancer observed. Of the cases considered possible DCIS, atypical cells were present, but the lesions were too small or incomplete to confirm DCIS. The small percentage of cases that lacked DCIS or definite DCIS could be attributed to the receipt of a different block or subsequent (deeper) section from the same block used for the initial diagnosis. These cases were previously known to the submitting institutions. Conclusion Interim analysis at 71% accrual demonstrates both the feasibility of obtaining diagnostic biopsy material of limited size and the adequacy of these samples for subsequent correlative science studies that aim to improve pathology diagnostics and patient management.
Citation Format: Rachel Factor, Stuart Schnitt, Robert West, Terry Hyslop, Thomas Lynch, Deborah Collyar, Desiree Basila, Lars Grimm, Lorraine King, Jeffrey Marks, Sunil Badve, Mark Watson, Marc Ryser, Anna Weiss, Anna Rapperport, Linda McCall, H. T. Carisa Le-Petross, Ann Partridge, E Shelley Hwang, Alastair M. Thompson. Centralized adequacy assessment of ductal carcinoma in situ samples for the COMET study (AFT-25) [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-04-13.
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Affiliation(s)
| | | | - Robert West
- 3Stanford University Medical Center, Stanford, CA
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Jaehnig EJ, Fernandez-Martinez A, Vashist T, Holt MV, Williams L, Lei J, Kim BJ, Dou Y, Korchina V, Gibbs R, Muzny D, Doddapaneni H, Rodriguez H, Robles A, Hiltke T, Mani DR, Gillette M, Hyslop T, Wen Y, McCart L, Miles G, Carr S, Zhang B, Satpathy S, Ellis M, Anurag M. Abstract P5-02-36: Proteogenomic profiling of fresh frozen core biopsies from CALGB 40601. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p5-02-36] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Background: Targeted therapy for HER2+ breast cancer has significantly improved outcomes for this aggressive subtype. However, a subset of patients do not achieve pathological complete response (pCR). In CALGB 40601, a randomized Phase III Trial for neoadjuvant treatment of HER2+ primary breast cancer with Paclitaxel (T: taxane) combined with HER2 antibody therapy (H: Herceptin/Trastuzumab), the small molecule inhibitor Lapatinib (L), or the antibody-inhibitor combination, pCR frequency was 56% for the combination (THL arm), 46% for Trastuzumab (TH arm), and 32% for Lapatinib (TL arm, closed early because of lower efficacy) (PMID: 26527775). While a recent publication reports relapse-free survival (RFS), overall survival (OS), and RNA-based gene expression signatures that can predict pCR (PMID: 33095682), understanding the proteogenomic landscape of treatment response should facilitate identification of alternative and therapeutically tractable protein targets for treatment-resistant tumors. Methods: Microscaled proteogenomic profiling (PMID: 31988290) was performed on treatment-naïve, flash-frozen core needle biopsies from the CALGB 40601 trial obtained from the Alliance for Clinical Trials in Oncology tissue bank. Multi-omics profiling included whole-exome sequencing (WES), RNA-sequencing, and mass spectroscopy-based proteomics and phosphoproteomics from one or two cores from each patient. Results: Eighty baseline core biopsies from 54 patients, including 22 patients from the THL arm, 24 from the TH arm, and 8 from the TL arm, from the CALGB 40601 tissue archive were of sufficient quality to yield genomics, transcriptomics, and/or proteomics profiling data. The frequency of pCR for profiled samples was representative of the overall trial cohort. Linear models were employed to identify baseline determinants of pCR for each arm and to assess differences in genes associated with response between the TH and THL arms. Pathways associated with RNA processing, translation, and the proteasome were elevated in pCR tumors in TH and THL arms, while cell cycle, DNA replication and repair pathways were higher in pCR only in the THL arm. While enrichment of similar pathways was observed in pCR in the transcriptome, the proteome specifically showed enrichment of pathways associated with extracellular matrix and EMT in non-pCR in the THL but not the TH arm. In particular, “EMT”, “ECM-receptor interaction”, and “extracellular structure organization” constituted the most enriched pathways and GO terms that were higher in non-pCR than in pCR tumors from the combination arm (THL) in the proteomics data despite showing no enrichment in the transcriptomics data. Driving this pathway enrichment were several collagens and matrix metalloproteinases that were significantly elevated in non-pCR tumors at the protein but not the RNA level. Finally, kinase target enrichment of differential phosphorylation sites suggested that the activity of PAK1, a regulator of cytoskeletal remodeling, is elevated in non-pCR tumors from the THL arm (p=0.006), but not the TH arm (p=0.69). Conclusion: Proteogenomic analysis of archival HER2+ breast cancer core biopsies provides opportunities for identifying proteins and phosphorylation sites in treatment-naive tumors that are associated with pCR to neoadjuvant Paclitaxel/anti-HER2 therapy. Notably, proteomic but not transcriptomic data showed that ECM and EMT pathways were elevated in non-pCR tumors; thus, signatures encompassing these pathways may serve as biomarkers for aggressive HER2+ breast cancer that is more likely to evade treatment. Non-pCR tumors in the THL arm were also marked by elevated levels of PAK1 target phosphorylation sites, suggesting that this kinase may be a potential therapeutic target in HER2+ breast cancer that is refractory to combination anti-HER2 therapy.
Citation Format: Eric J. Jaehnig, Aranzazu Fernandez-Martinez, Tanmayi Vashist, Matthew V. Holt, LaTerrica Williams, Jonathan Lei, Beom-Jun Kim, Yongchao Dou, Viktoriya Korchina, Richard Gibbs, Donna Muzny, Harshavardhan Doddapaneni, Henry Rodriguez, Ana Robles, Tara Hiltke, DR Mani, Michael Gillette, Terry Hyslop, Yujia Wen, Linda McCart, George Miles, Steven Carr, Bing Zhang, Shankha Satpathy, Matthew Ellis, Meenakshi Anurag. Proteogenomic profiling of fresh frozen core biopsies from CALGB 40601 [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-36.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - DR Mani
- 16Broad Institute of MIT and Harvard
| | | | | | - Yujia Wen
- 19Alliance for Clinical Trials in Oncology
| | - Linda McCart
- 20The Ohio State University Wexner Medical Center
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15
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Mucci LA, Vinson J, Gerke TA, Hyslop T, Howard L, Dreicer R, Rathkopf DE, Chi KN, Esteban E, Enting D, Bjartell A, Tagawa ST, Nanus DM, Ong M, Barata PC, Hotte SJ, Grant M, Villanti P, Kantoff PW, George DJ. First look at the baseline characteristics of participants in IRONMAN, the international registry for men with advanced prostate cancer. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.6_suppl.85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023] Open
Abstract
85 Background: Patients with advanced prostate cancer (APC) experience high mortality and increasingly deteriorating quality of life due to the disease itself and the therapies they are treated with. Despite recent advances in the treatment landscape, disparities in outcomes have only worsened. There is an urgent need to identify disparities in treatment patterns and outcomes in advanced disease in diverse populations. The International Registry for Men with Advanced Prostate Cancer (IRONMAN) is uniquely equipped to address these needs. Methods: IRONMAN is a prospective registry initiated in 2017 with a planned accrual of 5000 patients with newly diagnosed metastatic hormone-sensitive (mHSPC) and castration-resistant (CRPC) prostate cancer. As of 10/11/2022, 2890 patients have enrolled from 14 countries at 113 sites, with 2 more countries pending activation. Sites were selected to create a diverse cohort across race/ethnicity, geography and socioeconomic factors. Patients are followed for survival, clinically significant adverse events, changes in cancer treatments, biomarkers, and Patient-Reported Outcome Measures (PROMs). This analysis includes patients with treatment data reported from Baseline through Month 3 as of October 2021 (n=1931, 9 countries). Results: Patients were recruited across the USA (N=799), Australia (146), Canada (282), Spain (238), England (205), and all other countries (261). 61% had mHSPC, and 39% had CRPC at enrollment with little variation in these proportions across countries. Based on self-report, 87% of patients were White, 9% Black, 4% reported other races/ethnicities, and 353 did not report race. In the US, 18% of patients were Black. Globally, 22% of respondents reported current or former military service. The most common first systemic therapy on study was androgen receptor signaling inhibitors (ARSI) +/- ADT in 1039 (54%), ranging between 12% and 66% of patients by country. 19% received chemotherapy +/- ADT and 18% received ADT alone. ARSI use varied by age, race, and metastatic disease site. Conclusions: Our preliminary results highlight our ability to successfully enroll and follow APC patients from 113 sites across 14 countries, with 2890 of 5000 planned patients enrolled. Accrual is greater in de novo mHSPC patients than anticipated. Differences in treatment patterns are already emerging, with more ARSI use in the mHSPC setting in North America than other regions. Our data demonstrates that IRONMAN participating sites are rapidly adopting new treatment recommendations into clinical practice of real-world patients.
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Affiliation(s)
| | - Jake Vinson
- Prostate Cancer Clinical Trials Consortium, New York, NY
| | | | | | | | - Robert Dreicer
- Division of Hematology/Oncology, University of Virginia School of Medicine, Charlottesville, VA
| | - Dana E. Rathkopf
- Memorial Sloan Kettering Cancer Center and Weill Cornell Medicine, New York, NY
| | - Kim N. Chi
- BC Cancer Agency, University of British Columbia, Vancouver, BC, Canada
| | - Emilio Esteban
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | | | - Scott T. Tagawa
- Weill Cornell Medical College of Cornell University, New York, NY
| | - David M. Nanus
- Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY
| | - Michael Ong
- The Ottawa Hospital Cancer Centre, Ottawa, ON, Canada
| | | | | | - Marie Grant
- Prostate Cancer Clinical Trials Consortium, New York, NY
| | | | - Philip W. Kantoff
- Memorial Sloan Kettering Cancer Center, New York, NY, and Convergent Therapeutics, Inc., Cambridge, MA
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16
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Chervoneva I, Peck AR, Sun Y, Yi M, Udhane SS, Langenheim JF, Girondo MA, Jorns JM, Chaudhary LN, Kamaraju S, Bergom C, Flister MJ, Hooke JA, Kovatich AJ, Shriver CD, Hu H, Palazzo JP, Bibbo M, Hyslop T, Nevalainen MT, Pestell RG, Fuchs SY, Mitchell EP, Rui H. High PD-L2 Predicts Early Recurrence of ER-Positive Breast Cancer. JCO Precis Oncol 2023; 7:e2100498. [PMID: 36652667 PMCID: PMC9928763 DOI: 10.1200/po.21.00498] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
PURPOSE T-cell-mediated cytotoxicity is suppressed when programmed cell death-1 (PD-1) is bound by PD-1 ligand-1 (PD-L1) or PD-L2. Although PD-1 inhibitors have been approved for triple-negative breast cancer, the lower response rates of 25%-30% in estrogen receptor-positive (ER+) breast cancer will require markers to identify likely responders. The focus of this study was to evaluate whether PD-L2, which has higher affinity than PD-L1 for PD-1, is a predictor of early recurrence in ER+ breast cancer. METHODS PD-L2 protein levels in cancer cells and stromal cells of therapy-naive, localized or locoregional ER+ breast cancers were measured retrospectively by quantitative immunofluorescence histocytometry and correlated with progression-free survival (PFS) in the main study cohort (n = 684) and in an independent validation cohort (n = 273). All patients subsequently received standard-of-care adjuvant therapy without immune checkpoint inhibitors. RESULTS Univariate analysis of the main cohort revealed that high PD-L2 expression in cancer cells was associated with shorter PFS (hazard ratio [HR], 1.8; 95% CI, 1.3 to 2.6; P = .001), which was validated in an independent cohort (HR, 2.3; 95% CI, 1.1 to 4.8; P = .026) and remained independently predictive after multivariable adjustment for common clinicopathological variables (HR, 2.0; 95% CI, 1.4 to 2.9; P < .001). Subanalysis of the ER+ breast cancer patients treated with adjuvant chemotherapy (n = 197) revealed that high PD-L2 levels in cancer cells associated with short PFS in univariate (HR, 2.5; 95% CI, 1.4 to 4.4; P = .003) and multivariable analyses (HR, 3.4; 95% CI, 1.9 to 6.2; P < .001). CONCLUSION Up to one third of treatment-naive ER+ breast tumors expressed high PD-L2 levels, which independently predicted poor clinical outcome, with evidence of further elevated risk of progression in patients who received adjuvant chemotherapy. Collectively, these data warrant studies to gain a deeper understanding of PD-L2 in the progression of ER+ breast cancer and may provide rationale for immune checkpoint blockade for this patient group.
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Affiliation(s)
- Inna Chervoneva
- Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA
| | - Amy R. Peck
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | - Yunguang Sun
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | - Misung Yi
- Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA
| | - Sameer S. Udhane
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | | | | | - Julie M. Jorns
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI
| | | | - Sailaja Kamaraju
- Department of Medicine, Medical College of Wisconsin, Milwaukee, WI
| | - Carmen Bergom
- Department Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI
| | | | - Jeffrey A. Hooke
- John P. Murtha Cancer Center, Uniformed Services University, Bethesda, MD
| | - Albert J. Kovatich
- John P. Murtha Cancer Center, Uniformed Services University, Bethesda, MD
| | - Craig D. Shriver
- John P. Murtha Cancer Center, Uniformed Services University, Bethesda, MD
| | - Hai Hu
- Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, PA
| | - Juan P. Palazzo
- Department of Pathology, Thomas Jefferson University, Philadelphia, PA
| | - Marluce Bibbo
- Department of Pathology, Thomas Jefferson University, Philadelphia, PA
| | - Terry Hyslop
- Center for Health Equity, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA
| | | | - Richard G. Pestell
- Pennsylvania Cancer and Regenerative Medicine Research Center, Baruch S. Blumberg Institute, Doylestown, PA,The Wistar Cancer Center, Philadelphia, PA
| | - Serge Y. Fuchs
- Department of Biomedical Sciences, University of Pennsylvania, Philadelphia, PA
| | - Edith P. Mitchell
- Department of Medical Oncology, Thomas Jefferson University, Philadelphia, PA
| | - Hallgeir Rui
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI,Hallgeir Rui, MD, PhD, Department of Pathology, Medical College of Wisconsin, 8701 Watertown Plank Rd, TBRC C4980, Milwaukee, WI 53226; e-mail:
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17
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Lynch T, Partridge A, Hwang ES, Thompson A, Frank E, Pinto D, Collyar D, Basila D, Hyslop T, Ryser M, Weiss A, Rapperport A, Punglia R, Ozanne E. Abstract A011: Effectiveness of an online decision support tool in communicating information about treatment options and related risks for ductal carcinoma in situ (DCIS). Cancer Prev Res (Phila) 2022. [DOI: 10.1158/1940-6215.dcis22-a011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Abstract
Introduction: Treatment options for women diagnosed with DCIS require careful consideration of the potential risks and benefits. An interactive decision support tool (DST) was developed to provide information about these options, including their potential long-term risk. The DST was implemented through the website www.dcisoptions.org in collaboration with the AFT-25 Comparing an Operation to Monitoring, with or without Endocrine Therapy (COMET), for low-risk DCIS study. Methods: The DST provides personalized prediction of the potential clinical impact of six different treatment options over a 10-year period. Women were asked to select one or more option, and to complete two surveys - one prior to interacting with the DST and one following interaction. Chi-square tests were used to compare the distribution of age group and DCIS grade among women who completed both surveys and those who completed the pre-tool survey only. Mean age was compared using the t-test and median age was compared using the Wilcoxon-Mann-Whitney test. The signed-rank test was used to compare the median age. The cohort that answered both surveys was analyzed for potential differences in response (pre- versus post-tool). The McNemar test was used to compare percentage distributions and the paired t-test was used to compare mean responses for questions using the Likert scale. A signed rank test was used to compare median changes from pre- to post-tool. Statistical significance was defined as P<0.05 in a two-sided test. The primary endpoint of the study was to evaluate the effectiveness of the DST in communicating information about DCIS treatment options and related risk predictions. Results: Data were collected from January 2019 to April 2022 for women (non-COMET participants) who completed the DST. Of those 976 women, 831 (85%) completed the pre-tool survey only and 145 (15%) completed both the pre- and post-tool survey. The mean age was 54.4 (9.8 SD) years. 73% of women had low/intermediate-grade DCIS, while 19% had high-grade DCIS. Among women who submitted both surveys, average time spent completing the DST was 10 minutes. Awareness of the treatment options prior to use of the DST was high (90%), except for active surveillance (85.2%) and bilateral mastectomy (84.3%). Awareness post-tool did not change significantly except for active surveillance (85.2% to 96.5% (p=0.004)). Among women who completed both surveys, the percentage who correctly identified that the chance of dying from DCIS is ‘Very Low’ increased from 60.0% to 73.8% (p<0.0001). The median estimated risk of dying from DCIS in 10 years decreased from 9% to 3% (p<0.0001). A total of 101/132 (76.5%) women that responded to a specific question about the DST found it to be ‘Very Helpful’ or ‘Helpful’ in making a treatment decision for DCIS. A limitation of the study is the lower response rate to the post-tool survey. Conclusion: In this study, we demonstrated that utilization of a DST by women diagnosed with DCIS may enable value-congruent decision making and potentially result in improved patient outcomes.
Citation Format: Thomas Lynch, Ann Partridge, E. Shelley Hwang, Alastair Thompson, Elizabeth Frank, Donna Pinto, Deborah Collyar, Desiree Basila, Terry Hyslop, Marc Ryser, Anna Weiss, Anna Rapperport, Rinaa Punglia, Elissa Ozanne. Effectiveness of an online decision support tool in communicating information about treatment options and related risks for ductal carcinoma in situ (DCIS) [abstract]. In: Proceedings of the AACR Special Conference on Rethinking DCIS: An Opportunity for Prevention?; 2022 Sep 8-11; Philadelphia, PA. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_1): Abstract nr A011.
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Affiliation(s)
| | | | | | | | | | - Donna Pinto
- 4Alliance Foundation Trials, LLC, Boston, MA,
| | | | | | | | | | - Anna Weiss
- 4Alliance Foundation Trials, LLC, Boston, MA,
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18
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Mucci LA, Vinson J, Gold T, Gerke T, Filipenko J, Green RM, Anderson SG, Badal S, Bjartell A, Chi KN, Davis ID, Enting D, Fay AP, Lazarus J, Mateo J, McDermott R, Odedina FT, Olmos D, Omlin A, Popoola AA, Ragin C, Roberts R, Russnes KM, Waihenya C, Stopsack KH, Hyslop T, Villanti P, Kantoff PW, George DJ. IRONMAN: A Novel International Registry of Men With Advanced Prostate Cancer. JCO Glob Oncol 2022; 8:e2200154. [PMID: 36332173 PMCID: PMC9668562 DOI: 10.1200/go.22.00154] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
PURPOSE To describe a newly established international registry recruiting diverse patients with advanced prostate cancer across academic and community practices to address unmet needs in this population. PATIENTS AND METHODS Initiated in 2017, IRONMAN (International Registry for Men with Advanced Prostate Cancer) is a prospective cohort of patients with advanced prostate cancer. The study will enroll 5,000 patients with metastatic hormone-sensitive prostate cancer (mHSPC) or castration-resistant prostate cancer (CRPC), recruited from Australia, the Bahamas, Barbados, Brazil, Canada, Ireland, Jamaica, Kenya, Nigeria, Norway, South Africa, Spain, Sweden, Switzerland, the United Kingdom, and the United States. The study is collecting datatypes to study variation in care and treatment of advanced prostate cancer across countries and across academic, community-based, and government practices with a focus on clinical outcomes, patient-reported outcomes, epidemiologic data, biologic subtypes, and clinician questionnaires. RESULTS Through July 2022, 2,682 eligible patients were enrolled in 11 of 12 active countries. Sixty-six percent of patients have mHSPC, and 34% have CRPC. On the basis of self-report, 11% of patients are Black and 9% are Hispanic. Five Veterans Affairs Medical Centers are enrolling patients. Globally, 23% of patients report being veterans of military service. CONCLUSION To our knowledge, this is the first international cohort of people newly diagnosed with advanced prostate cancer designed to describe variations in patient management, experiences, and outcomes. IRONMAN aims to identify optimal treatment sequences to improve survival, understand patient-reported outcomes, and explore novel biomarkers to understand treatment resistance mechanisms. Insights from IRONMAN will inform and guide future clinical management of people with mHSPC and CRPC. This cohort study will provide real-world evidence to facilitate a better understanding of the survivorship of people with advanced prostate cancer.
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Affiliation(s)
- Lorelei A. Mucci
- Harvard T.H. Chan School of Public Health, Boston, MA,Lorelei A. Mucci, ScD, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Room 920, Boston, MA 02115; e-mail:
| | - Jacob Vinson
- Prostate Cancer Clinical Trials Consortium, New York, NY
| | - Theresa Gold
- Prostate Cancer Clinical Trials Consortium, New York, NY
| | - Travis Gerke
- Prostate Cancer Clinical Trials Consortium, New York, NY
| | | | | | - Simon G. Anderson
- The Glasgow-Caribbean Centre for Development Research and the Caribbean Institute of Health Research, The University of the West Indies, Bridgetown, Barbados
| | - Simone Badal
- The University of the West Indies Mona, Kingston, Jamaica
| | | | - Kim N. Chi
- BC Cancer, Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ian D. Davis
- Monash University, Melbourne, Australia,Eastern Health, Melbourne, Australia
| | - Deborah Enting
- Guys St Thomas NHS Foundation Trust, London, United Kingdom
| | - André P. Fay
- Hospital Sao Lucas da PUCRS, Porto Alegre, Brazil
| | - John Lazarus
- University of Cape Town, Cape Town, South Africa
| | - Joaquin Mateo
- Vall d’Hebron Institute of Oncology, Barcelona, Spain
| | - Ray McDermott
- St Vincent's University Hospital & Cancer Trials Ireland, Dublin, Ireland
| | | | - David Olmos
- Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | | | | | | | - Robin Roberts
- UWI School of Clinical Medicine and Research, Nassau, The Bahamas
| | | | | | | | | | | | - Philip W. Kantoff
- Convergent Therapeutics, Cambridge, MA,Memorial Sloan Kettering Cancer Center, New York, NY
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19
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Neely B, Shahsahebi M, Marks CE, Power S, Kanter A, Howell C, Hyslop T, Plichta JK. Design and Evaluation of a Computational Phenotype to Identify Patients With Metastatic Breast Cancer Within the Electronic Health Record. JCO Clin Cancer Inform 2022; 6:e2200056. [PMID: 36179272 PMCID: PMC9848550 DOI: 10.1200/cci.22.00056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/15/2022] [Accepted: 08/30/2022] [Indexed: 01/21/2023] Open
Abstract
PURPOSE Outcomes for patients with metastatic breast cancer (MBC) are continually improving as more effective treatments become available. Granular data sets of this unique population are lacking, and the standard method for data collection relies largely on chart review. Therefore, using electronic health records (EHR) collected at a tertiary hospital system, we developed and evaluated a computational phenotype designed to identify all patients with MBC, and we compared the effectiveness of this algorithm against the gold standard, clinical chart review. METHODS A cohort of patients with breast cancer were identified according to International Classification of Diseases codes, the institutional tumor registry, and SNOMED codes. Chart review was performed to determine whether distant metastases had occurred. We developed a computational phenotype, on the basis of SNOMED concept IDs, which was applied to the EHR to identify patients with MBC. Contingency tables were used to aggregate and compare results. RESULTS A total of 1,741 patients with breast cancer were identified using data from International Classification of Diseases codes, the tumor registry, and/or SNOMED concept identifiers. Chart review of all patients classified each patient as having MBC (n = 416; 23.9%) versus not (n = 1,325; 75.9%). The final computational phenotype successfully classified 1,646 patients (95% accuracy; 82% sensitivity; 99% specificity). CONCLUSION Hospital systems with robust EHRs and reliable mapping to SNOMED have the ability to use standard codes to derive computational phenotypes. These algorithms perform reasonably well and have the added ability to be run at disparate health care facilities. Better tooling to navigate the polyhierarchical structure of SNOMED ontology could yield better-performing computational phenotypes.
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Affiliation(s)
| | - Mohammad Shahsahebi
- Duke Cancer Institute, Durham, NC
- Department of Family Medicine and Community Health, Duke University, Durham, NC
| | - Caitlin E. Marks
- Department of Surgery, Duke University Medical Center, Durham, NC
| | | | | | | | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC
| | - Jennifer K. Plichta
- Duke Cancer Institute, Durham, NC
- Department of Surgery, Duke University Medical Center, Durham, NC
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20
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Zhang D, Neely B, Lo JY, Patel BN, Hyslop T, Gupta RT. Utility of a Rule-Based Algorithm in the Assessment of Standardized Reporting in PI-RADS. Acad Radiol 2022; 30:1141-1147. [PMID: 35909050 DOI: 10.1016/j.acra.2022.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Revised: 06/15/2022] [Accepted: 06/28/2022] [Indexed: 11/26/2022]
Abstract
RATIONALE AND OBJECTIVES Adoption of the Prostate Imaging Reporting & Data System (PI-RADS) has been shown to increase detection of clinically significant prostate cancer on prostate mpMRI. We propose that a rule-based algorithm based on Regular Expression (RegEx) matching can be used to automatically categorize prostate mpMRI reports into categories as a means by which to assess for opportunities for quality improvement. MATERIALS AND METHODS All prostate mpMRIs performed in the Duke University Health System from January 2, 2015, to January 29, 2021, were analyzed. Exclusion criteria were applied, for a total of 5343 male patients and 6264 prostate mpMRI reports. These reports were then analyzed by our RegEx algorithm to be categorized as PI-RADS 1 through PI-RADS 5, Recurrent Disease, or "No Information Available." A stratified, random sample of 502 mpMRI reports was reviewed by a blinded clinical team to assess performance of the RegEx algorithm. RESULTS Compared to manual review, the RegEx algorithm achieved overall accuracy of 92.6%, average precision of 88.8%, average recall of 85.6%, and F1 score of 0.871. The clinical team also reviewed 344 cases that were classified as "No Information Available," and found that in 150 instances, no numerical PI-RADS score for any lesion was included in the impression section of the mpMRI report. CONCLUSION Rule-based processing is an accurate method for the large-scale, automated extraction of PI-RADS scores from the text of radiology reports. These natural language processing approaches can be used for future initiatives in quality improvement in prostate mpMRI reporting with PI-RADS.
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21
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Schmitz RS, van den Belt-Dusebout AW, Clements K, Ren Y, Cresta C, Timbres J, Liu YH, Byng D, Lynch T, Menegaz B, Collyar D, Hyslop T, Schaapveld M, Sawyer E, Hwang SE, Thompson A, Ryser MD, Wesseling J, Lips EH, Schmidt MK. Abstract 686: Subsequent invasive breast cancer risk after DCIS treatment in multinational PRECISION consortium cohorts comprising 48,576 patients. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Although DCIS is a precursor of invasive breast cancer (IBC), most DCIS lesions never will progress. As we cannot distinguish reliably progressive from harmless DCIS yet, almost all women with DCIS are treated extensively with surgery and often adjuvant radiotherapy or endocrine treatment, implying overtreatment of many thousands of women with harmless DCIS. PRECISION aims to reduce such overtreatment by identifying factors associated with subsequent ipsilateral IBC. Many factors have been implicated in subsequent DCIS and IBC risk, but most studies relied on small series with limited prognostic power. To overcome this, we conducted pooled analyses of four large cohorts with DCIS from three different countries.
Methods: Cohorts were pooled with data of 48,804 women with DCIS: a population-based cohort (NL, n=18,996), prospective, a population-based, screening cohort (Sloane, UK, n=8,462), a single center cohort (MDACC, USA, n=2,363), and a representative DCIS patient series from the National Cancer Database Special Study (USA, n=18,983). Patients with missing data on treatment and follow-up or follow-up shorter than six months were excluded from analyses. Risk of a subsequent ipsilateral invasive breast cancer (iIBC) was assessed in three DCIS lesion size groups (<20mm, 20-50mm and ≥50mm) and in patients who had clear surgical margins (<2mm) after final breast conserving surgery (BCS) versus patients who did not. Cox proportional hazards models were used to assess differences in risk of IBC, with a focus on DCIS size and margin status.
Results: In final analyses, 48,576 patients, diagnosed between 1999 and 2017, were included. Median follow-up was 7.6 years (range 0.5-21.1). In multivariable analyses, patients with smaller size of DCIS (<20mm) had a decreased risk of iIBC compared with women with larger lesion size (HR 0.81; 95% CI 0.68-0.97). In 33,091 BCS treated patients, patients with clear surgical margins had a decreased risk of iIBC (HR 0.68; 95% CI 0.52-0.90).
Conclusion: In our quest to reduce overtreatment for women with DCIS, we have identified free surgical margins and smaller lesion size as independent factors reducing the risk of subsequent ipsilateral invasive breast cancer, irrespective of the treatment received. Knowledge of these, and additional, factors could aid in selecting patients suitable for less invasive management strategies such as active surveillance or omitting radiotherapy. This work was supported by Cancer Research UK and by KWF Dutch Cancer Society (ref.C38317/A24043); Web site: https://cancergrandchallenges.org/teams/precision
Citation Format: Renee S. Schmitz, Alexandra W. van den Belt-Dusebout, Karen Clements, Yi Ren, Chiara Cresta, Jasmine Timbres, Yat-Hee Liu, Danalyn Byng, Thomas Lynch, Brian Menegaz, Deborah Collyar, Terry Hyslop, Michael Schaapveld, Elinor Sawyer, Shelley E. Hwang, Alastair Thompson, Marc D. Ryser, Jelle Wesseling, Esther H. Lips, Marjanka K. Schmidt, Grand Challenge PRECISION Consortium. Subsequent invasive breast cancer risk after DCIS treatment in multinational PRECISION consortium cohorts comprising 48,576 patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 686.
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Affiliation(s)
| | | | | | - Yi Ren
- 3Duke University, Durham, NC
| | - Chiara Cresta
- 1Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | - Yat-Hee Liu
- 1Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Danalyn Byng
- 1Netherlands Cancer Institute, Amsterdam, Netherlands
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22
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Lynch T, Frank ES, Collyar DE, Pinto D, Basila D, Partridge AH, Thompson AM, Hwang ESS, Li F, Ren Y, Hyslop T. Comparing an operation to monitoring, with or without endocrine therapy (COMET), for low-risk ductal carcinoma in situ (DCIS). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.tps616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS616 Background: Approximately 50,000 women in the U.S. are diagnosed with ductal carcinoma in situ (DCIS) each year. Without treatment, it is estimated that only 20-30% of DCIS will lead to invasive breast cancer (IBC). However, over 97% of women are currently treated with surgery +/- radiation. An alternative to surgery is active monitoring (AM), a management approach in which mammograms/physical exams are used to monitor breast changes and determine when, or if, surgery is needed. The COMET Study will compare risks and benefits of AM versus surgery for low-risk DCIS in the setting of a Phase III multicenter prospective randomized trial. The study is funded by the Patient-Centered Outcomes Research Institute. The COMET trial opened in the U.S. in June 2017 (Clinicaltrials.gov reference: NCT02926911). In November 2021, the Data Safety Monitoring Board reviewed the trial and suggested that it continue as planned. Patient accrual will continue until 12/31/2022. Methods: The primary objective is to assess whether the 2-year ipsilateral IBC rate for AM is non-inferior to that for surgery. Secondary objectives include determining whether AM is non-inferior to surgery for 2-year mastectomy rate; breast conservation rate; contralateral breast cancer rate; overall and breast cancer-specific survival. Patient reported outcomes will enable comparison of health-related quality of life and psychosocial outcomes between surgery and AM groups at baseline, 6-months, and years 1-5. Eligibility criteria include: age > 40 at diagnosis; pathologic confirmation of grade I/II DCIS or atypia verging on DCIS without invasion by two pathologists; ER and/or PR ≥ 10%; no mass on physical exam or imaging. The accrual goal is 1200 randomized patients across 100 Alliance for Clinical Trials in Oncology sites. Sample size is estimated using a 2-group test of non-inferiority of proportions, with the 2-year IBC rate in the surgery group assumed to be 0.10 based on published studies and non-inferiority margin of 0.05. Based on a 1-sided un-pooled z-test, with alpha = 0.05, a sample size of n = 446 per group will have 80% power to detect the specified non-inferiority margin. Final analysis plan will include a per protocol component as well as a pragmatic component for patients who are randomized and decline participation in their assigned arm. Primary analyses will adjust for dropout, non-compliance and contamination by utilizing instrumental variable methods. Clinical trial information: NCT02926911.
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Affiliation(s)
| | | | | | | | - Desiree Basila
- University of California San Francisco, San Francisco, CA
| | | | | | | | - Fan Li
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC
| | - Yi Ren
- Duke University School of Medicine, Durham, NC
| | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC
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23
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Champion CD, Thomas SM, Plichta JK, Parrilla Castellar E, Rosenberger LH, Greenup RA, Hyslop T, Hwang ES, Fayanju OM. Disparities at the Intersection of Race and Ethnicity: Examining Trends and Outcomes in Hispanic Women With Breast Cancer. JCO Oncol Pract 2022; 18:e827-e838. [PMID: 33026950 PMCID: PMC9797230 DOI: 10.1200/op.20.00381] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
PURPOSE We sought to examine tumor subtype, stage at diagnosis, time to surgery (TTS), and overall survival (OS) among Hispanic patients of different races and among Hispanic and non-Hispanic (NH) women of the same race. METHODS Women 18 years of age or older who had been diagnosed with stage 0-IV breast cancer and who had undergone lumpectomy or mastectomy were identified in the National Cancer Database (2004-2014). Tumor subtype and stage at diagnosis were compared by race/ethnicity. Multivariable linear regression and Cox proportional hazards modeling were used to estimate associations between race/ethnicity and adjusted TTS and OS, respectively. RESULTS A total of 44,374 Hispanic (American Indian [AI]: 79 [0.2%]; Black: 1,011 [2.3%]; White: 41,126 [92.7%]; Other: 2,158 [4.9%]) and 858,634 NH women (AI: 2,319 [0.3%]; Black: 97,206 [11.3%]; White: 727,270 [84.7%]; Other: 31,839 [3.7%]) were included. Hispanic Black women had lower rates of triple-negative disease (16.2%) than did NH Black women (23.5%) but higher rates than did Hispanic White women (13.9%; P < .001). Hispanic White women had higher rates of node-positive disease (23.2%) versus NH White women (14.4%) but slightly lower rates than Hispanic (24.6%) and NH Black women (24.5%; P < .001). Hispanic White women had longer TTS versus NH White women regardless of treatment sequence (adjusted means: adjuvant chemotherapy, 42.71 v 38.60 days; neoadjuvant chemotherapy, 208.55 v 201.14 days; both P < .001), but there were no significant racial differences in TTS among Hispanic patients. After adjustment, Hispanic White women (hazard ratio, 0.77 [95% CI, 0.74 to 0.81]) and Black women (hazard ratio, 0.75 [95% CI, 0.58 to 0.96]) had improved OS versus NH White women (reference) and Black women (hazard ratio, 1.15 [95% CI, 1.12 to 1.18]; all P < .05). CONCLUSION Hispanic women had improved OS versus NH women, but racial differences in tumor subtype and nodal stage among Hispanic women highlight the importance of disaggregating racial/ethnic data in breast cancer research.
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Affiliation(s)
- Cosette D. Champion
- Department of Medicine, Washington University School of Medicine, St Louis, MO,Oluwadamilola M. Fayanju, MD, MA, MPHS, DUMC 3513, Durham, NC 27710; e-mail:
| | - Samantha M. Thomas
- Biostatistics Shared Resource, Duke Cancer Institute, Durham, NC,Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Jennifer K. Plichta
- Department of Surgery, Duke University Medical Center, Durham, NC,Women’s Cancer Program, Duke Cancer Institute, Durham, NC
| | - Edgardo Parrilla Castellar
- Women’s Cancer Program, Duke Cancer Institute, Durham, NC,Department of Pathology, Duke University Medical Center, Durham, NC
| | - Laura H. Rosenberger
- Department of Surgery, Duke University Medical Center, Durham, NC,Women’s Cancer Program, Duke Cancer Institute, Durham, NC
| | - Rachel A. Greenup
- Department of Surgery, Duke University Medical Center, Durham, NC,Women’s Cancer Program, Duke Cancer Institute, Durham, NC,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Terry Hyslop
- Biostatistics Shared Resource, Duke Cancer Institute, Durham, NC,Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - E. Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, NC,Women’s Cancer Program, Duke Cancer Institute, Durham, NC
| | - Oluwadamilola M. Fayanju
- Department of Surgery, Duke University Medical Center, Durham, NC,Women’s Cancer Program, Duke Cancer Institute, Durham, NC,Department of Population Health Sciences, Duke University School of Medicine, Durham, NC,Duke Forge, Duke University, Durham, NC,Department of Surgery, Durham VA Medical Center, Durham, NC,Oluwadamilola M. Fayanju, MD, MA, MPHS, DUMC 3513, Durham, NC 27710; e-mail:
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24
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Sarver MM, Rames JD, Ren Y, Greenup RA, Shammas RL, Hwang ES, Hollenbeck ST, Hyslop T, Butler PD, Fayanju OM. Racial and Ethnic Disparities in Surgical Outcomes after Postmastectomy Breast Reconstruction. J Am Coll Surg 2022; 234:760-771. [PMID: 35426388 PMCID: PMC9347225 DOI: 10.1097/xcs.0000000000000143] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Women of color with breast cancer are less likely to undergo post-mastectomy reconstruction compared with White women, but it is unclear whether their perioperative outcomes are worse. The goal of this study was to investigate differences in preoperative comorbidities and postoperative complications by race/ethnicity among women with breast cancer undergoing postmastectomy reconstruction. STUDY DESIGN Data were collected from the National Inpatient Sample database of the Healthcare Cost and Utilization Project from 2012 to 2016. Patient demographics, types of reconstruction, comorbid conditions, Charlson-Deyo Combined Comorbidity (CDCC) scores, length of stay (LOS), and perioperative complications were abstracted. Multivariate linear and logistic regression were performed to model LOS and likelihood of postoperative complications, respectively. RESULTS Compared with White women (n = 19,730), Black women (n = 3,201) underwent autologous reconstruction more frequently (40.7% vs 28.3%), had more perioperative comorbidities (eg diabetes: 12.9% vs 5.8%), higher CDCC scores (% CDCC ≥ 4: 5.5% vs 2.7%), and longer LOS (median 3 vs 2 days, all p < 0.001). Being Black (vs White: +0.13 adjusted days, 95% CI 0.06 to 0.19) was also associated with longer LOS and an increased likelihood of surgical complications (vs White: odds ratio 1.24, 95% CI 1.09 to 1.42, both p < 0.01), but this association did not persist when outcomes were limited to microsurgical complications. CONCLUSION Disparities in postmastectomy breast reconstruction between Black and White women extend beyond access to care and include perioperative factors and outcomes. These findings suggest an important opportunity to mitigate inequities in reconstruction through perioperative health optimization and improved access to and co-management with primary care.
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Affiliation(s)
- Melissa M Sarver
- From the Duke University School of Medicine, Durham, NC (Sarver, Rames)
- Divisions of Surgical Oncology (Sarver, Greenup, Hwang, Fayanju), Duke University School of Medicine, NC
| | - Jess D Rames
- From the Duke University School of Medicine, Durham, NC (Sarver, Rames)
- Plastic and Reconstructive Surgery (Rames, Shammas, Hollenbeck), Duke University School of Medicine, NC
| | - Yi Ren
- Duke Cancer Institute, Durham, NC (Ren, Greenup, Hwang, Hyslop, Fayanju)
| | - Rachel A Greenup
- Duke Cancer Institute, Durham, NC (Ren, Greenup, Hwang, Hyslop, Fayanju)
- Divisions of Surgical Oncology (Sarver, Greenup, Hwang, Fayanju), Duke University School of Medicine, NC
- Department of Surgery, and Departments of Population Health Sciences (Greenup, Fayanju), Duke University School of Medicine, NC
| | - Ronnie L Shammas
- Plastic and Reconstructive Surgery (Rames, Shammas, Hollenbeck), Duke University School of Medicine, NC
| | - E Shelley Hwang
- Duke Cancer Institute, Durham, NC (Ren, Greenup, Hwang, Hyslop, Fayanju)
- Divisions of Surgical Oncology (Sarver, Greenup, Hwang, Fayanju), Duke University School of Medicine, NC
| | - Scott T Hollenbeck
- Plastic and Reconstructive Surgery (Rames, Shammas, Hollenbeck), Duke University School of Medicine, NC
| | - Terry Hyslop
- Duke Cancer Institute, Durham, NC (Ren, Greenup, Hwang, Hyslop, Fayanju)
- Biostatistics and Bioinformatics (Hyslop), Duke University School of Medicine, NC
| | - Paris D Butler
- Division of Plastic Surgery, Department of Surgery, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, PA (Butler)
| | - Oluwadamilola M Fayanju
- Duke Cancer Institute, Durham, NC (Ren, Greenup, Hwang, Hyslop, Fayanju)
- Divisions of Surgical Oncology (Sarver, Greenup, Hwang, Fayanju), Duke University School of Medicine, NC
- Department of Surgery, and Departments of Population Health Sciences (Greenup, Fayanju), Duke University School of Medicine, NC
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25
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Shepherd JH, Ballman K, Polley MYC, Campbell JD, Fan C, Selitsky S, Fernandez-Martinez A, Parker JS, Hoadley KA, Hu Z, Li Y, Soloway MG, Spears PA, Singh B, Tolaney SM, Somlo G, Port ER, Ma C, Kuzma C, Mamounas E, Golshan M, Bellon JR, Collyar D, Hahn OM, Hudis CA, Winer EP, Partridge A, Hyslop T, Carey LA, Perou CM, Sikov WM. CALGB 40603 (Alliance): Long-Term Outcomes and Genomic Correlates of Response and Survival After Neoadjuvant Chemotherapy With or Without Carboplatin and Bevacizumab in Triple-Negative Breast Cancer. J Clin Oncol 2022; 40:1323-1334. [PMID: 35044810 PMCID: PMC9015203 DOI: 10.1200/jco.21.01506] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 11/10/2021] [Accepted: 12/13/2021] [Indexed: 12/14/2022] Open
Abstract
PURPOSE CALGB 40603 (NCT00861705), a 2 × 2 randomized phase II trial, demonstrated that adding carboplatin or bevacizumab to weekly paclitaxel (wP) followed by doxorubicin and cyclophosphamide significantly increased the pathologic complete response (pCR) rate in stage II-III triple-negative breast cancer. We now report long-term outcomes (LTOs) and correlative science end points. PATIENTS AND METHODS The Kaplan-Meier method was used to estimate LTOs in 443 patients who initiated study treatment. Log-rank tests and Cox proportional hazards models evaluated the impact of clinical characteristics, pathologic response, calculated residual cancer burden (RCB) in patients with residual disease (RD), treatment assignment, and dose delivery during wP on LTOs, including event-free survival (EFS). Genomic predictors of treatment response and outcomes were assessed on pretreatment tumor samples by mRNA sequencing. RESULTS Among baseline characteristics, only the clinical stage was associated with LTOs. At a median follow-up of 7.9 years, LTOs were not significantly improved with either carboplatin or bevacizumab, overall or in patients with basal-like subtype cancers by genomic analysis. Patients with pCR (n = 205, 46.3%) had significantly higher 5-year EFS (85.5% v 56.6%, log-rank P < .0001) and overall survival (87.9% v 63.4%, P < .0001) rates compared with patients with RD, even those with RCB class I. Among clinical and genomic features, evidence of immune activation, including tumor-infiltrating lymphocytes and low B-cell receptor evenness, was associated with pCR and improved EFS. CONCLUSION Despite higher pCR rates, neither carboplatin nor bevacizumab appeared to improve LTOs although the study was not powered to assess these secondary end points. pCR was associated with superior LTOs even when compared with minimal RD. Markers of immune activation in pretreatment tumor biopsies were independently associated with higher pCR rates and improved survival.
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Affiliation(s)
- Jonathan H. Shepherd
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Karla Ballman
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Mei-Yin C. Polley
- Department of Public Health Sciences, University of Chicago, Chicago, IL
| | - Jordan D. Campbell
- Alliance Statistics and Data Management Center, Mayo Clinic, Rochester, MN
| | - Cheng Fan
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | | | - Katherine A. Hoadley
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - Zhiyuan Hu
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Yan Li
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Matthew G. Soloway
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Patricia A. Spears
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | | | - George Somlo
- City of Hope Comprehensive Cancer Center, Duarte, CA
| | | | - Cynthia Ma
- Washington University School of Medicine, St Louis, MO
| | - Charles Kuzma
- FirstHealth Sanford Hematology and Oncology, Sanford, NC
| | | | - Mehra Golshan
- Yale Cancer Center, Yale School of Medicine, New Haven, CT
| | | | | | | | | | | | | | - Terry Hyslop
- Department of Biostatistics & Bioinformatics, School of Medicine, Duke University, Durham, NC
| | - Lisa A. Carey
- Division of Hematology-Oncology, Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Charles M. Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Genetics, University of North Carolina, Chapel Hill, NC
| | - William M. Sikov
- Program in Women's Oncology, Women and Infants Hospital of Rhode Island and Warren Alpert Medical School of Brown University, Providence, RI
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26
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Sistrunk C, Tolbert N, Sanchez-Pino MD, Erhunmwunsee L, Wright N, Jones V, Hyslop T, Miranda-Carboni G, Dietze EC, Martinez E, George S, Ochoa AC, Winn RA, Seewaldt VL. Impact of Federal, State, and Local Housing Policies on Disparities in Cardiovascular Disease in Black/African American Men and Women: From Policy to Pathways to Biology. Front Cardiovasc Med 2022; 9:756734. [PMID: 35509276 PMCID: PMC9058117 DOI: 10.3389/fcvm.2022.756734] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 03/11/2022] [Indexed: 12/29/2022] Open
Abstract
Racist and discriminatory federal, state, and local housing policies significantly contribute to disparities in cardiovascular disease incidence and mortality for individuals that self-identify as Black or African American. Here we highlight three key housing policies - "redlining," zoning, and the construction of highways - which have wrought a powerful, sustained, and destructive impact on cardiovascular health in Black/African American communities. Redlining and highway construction policies have restricted access to quality health care, increased exposure to carcinogens such as PM2.5, and increased exposure to extreme heat. At the root of these policy decisions are longstanding, toxic societal factors including racism, segregation, and discrimination, which also serve to perpetuate racial inequities in cardiovascular health. Here, we review these societal and structural factors and then link them with biological processes such as telomere shortening, allostatic load, oxidative stress, and tissue inflammation. Lastly, we focus on the impact of inflammation on the immune system and the molecular mechanisms by which the inflamed immune microenvironment promotes the formation of atherosclerotic plaques. We propose that racial residential segregation and discrimination increases tissue inflammation and cytokine production, resulting in dysregulated immune signaling, which promotes plaque formation and cardiovascular disease. This framework has the power to link structural racism not only to cardiovascular disease, but also to cancer.
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Affiliation(s)
| | - Nora Tolbert
- Department of Cardiology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Maria Dulfary Sanchez-Pino
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University, Baton Rouge, LA, United States
| | | | - Nikita Wright
- City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Veronica Jones
- City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Terry Hyslop
- Department of Biochemistry, Duke University, Durham, NC, United States
| | | | - Eric C. Dietze
- City of Hope Comprehensive Cancer Center, Duarte, CA, United States
| | - Ernest Martinez
- Department of Biostatistics and Bioinformatics, University of California, Riverside, Riverside, CA, United States
| | - Sophia George
- Sylvester Comprehensive Cancer Center, Miami, FL, United States
| | - Augusto C. Ochoa
- Department of Interdisciplinary Oncology, Stanley S. Scott Cancer Center, Louisiana State University, Baton Rouge, LA, United States
| | - Robert A. Winn
- VCU Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, United States,Robert A. Winn,
| | - Victoria L. Seewaldt
- City of Hope Comprehensive Cancer Center, Duarte, CA, United States,*Correspondence: Victoria L. Seewaldt, ;
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27
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Plichta JK, Thomas SM, Sergesketter AR, Greenup RA, Rosenberger LH, Fayanju OM, Kimmick G, Force J, Hyslop T, Hwang ES. A Novel Staging System for De Novo Metastatic Breast Cancer Refines Prognostic Estimates. Ann Surg 2022; 275:784-792. [PMID: 32657941 PMCID: PMC7794098 DOI: 10.1097/sla.0000000000004231] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE We aim to identify prognostic groups within a de novo metastatic cohort, incorporating both anatomic and biologic factors. BACKGROUND Staging for breast cancer now includes anatomic and biologic factors, although the guidelines for stage IV disease do not account for how these factors may influence outcomes. METHODS Adults with de novo metastatic breast cancer were selected from the National Cancer DataBase (2010-2013). Recursive partitioning analysis was used to group patients with similar overall survival (OS) based on clinical T/N stage, tumor grade, ER, PR, HER2, number of metastatic sites, and presence of bone-only metastases. Categories were created by amalgamating homogeneous groups based on 3-year OS rates (stage IVA: >50%, stage IVB: 30%-50%, stage IVC: <30%). RESULTS 16,187 patients were identified; median follow-up was 32 months. 65.2% had 1 site of distant metastasis, and 42.9% had bone-only metastases. Recursive partitioning analysis identified the number of metastatic sites (1 vs >1) as the first stratification point, and ER status as the second stratification point for both resulting groups. Additional divisions were made based on HER2 status, PR status, cT stage, tumor grade, and presence of bone-only metastases. After bootstrapping, significant differences in 3-year OS were noted between the 3 groups [stage IVB vs IVA: HR 1.58 (95% confidence interval 1.50-1.67), stage IVC vs IVA: HR 3.54 (95% confidence interval 3.33-3.77)]. CONCLUSIONS Both anatomic and biologic factors yielded reliable and reproducible prognostic estimates among patients with metastatic disease. These findings support formal stratification of de novo stage IV breast cancer into 3 distinct prognosis groups.
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Affiliation(s)
- Jennifer K. Plichta
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
| | - Samantha M. Thomas
- Duke Cancer Institute, Durham, North Carolina
- Department of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina
| | | | - Rachel A. Greenup
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
| | - Laura H. Rosenberger
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
| | - Oluwadamilola M. Fayanju
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
- Durham VA Medical Center, Durham, North Carolina
| | - Gretchen Kimmick
- Duke Cancer Institute, Durham, North Carolina
- Department of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jeremy Force
- Duke Cancer Institute, Durham, North Carolina
- Department of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Terry Hyslop
- Duke Cancer Institute, Durham, North Carolina
- Department of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina
| | - E. Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Duke Cancer Institute, Durham, North Carolina
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28
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Yu AYL, Thomas SM, DiLalla GD, Greenup RA, Hwang ES, Hyslop T, Menendez CS, Plichta JK, Tolnitch LA, Fayanju OM. Disease characteristics and mortality among Asian women with breast cancer. Cancer 2022; 128:1024-1037. [PMID: 34792814 PMCID: PMC8837687 DOI: 10.1002/cncr.34015] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 10/11/2021] [Accepted: 10/14/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Asian women with breast cancer are often studied in aggregate, belying significant intragroup diversity. The authors sought to examine differences in breast cancer characteristics and outcomes among Asian women. METHODS Asian, non-Hispanic Black, Hispanic, and non-Hispanic White women aged 18 years and older who were diagnosed with breast cancer from 1990 to 2016 were identified in the Surveillance, Epidemiology, and End Results 18 database. Asian patients were subclassified as Chinese, Japanese, Korean, Filipino, Vietnamese, South Asian (Asian Indian or Pakistani), Southeast Asian (SEA, i.e., Cambodian, Laotian, Hmong, or Thai), or other Asian. Unadjusted overall survival (OS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method. Cox proportional hazards models were used to estimate adjusted OS and CSS. RESULTS In total, 910,415 women were included (Asian, n = 63,405; Black, n = 92,226; Hispanic, n = 84,451; White, n = 670,333). Asian women had higher rates of human epidermal growth factor receptor 2 (HER2)-positive disease compared with White women (18.7% vs 13.8%) and had the highest 10-year unadjusted OS and CSS among all racial/ethnic groups (all P < .001). SEA women had the highest rates of stage IV disease at presentation, whereas Japanese women had the lowest rates (5.9% vs 2.7%; P < .001). Japanese women had the highest 10-year unadjusted CSS (89.4%; 95% confidence interval, 88.7%-90.1%) of any distinct Asian group, whereas SEA women had the worst unadjusted CSS (78%; 95% confidence interval, 74.1%-81.3%; P < .001). After adjustment, SEA women had the worst OS of any Asian group and were the only Asian group without improved OS compared with White women (reference category; P = .08). CONCLUSIONS Breast cancer characteristics and outcomes vary significantly among Asian women. Future research should consider disaggregation by country or region of origin to identify subgroups that are at risk for worse outcomes than aggregated data may suggest. LAY SUMMARY Asian women with breast cancer are frequently studied as a single entity. However, Asian ethnic groups differ greatly by country of origin, genetic ancestry, disease frequency, socioeconomic status, patterns of immigration, as well as dietary and cultural practices. Women of different Asian ethnicities vary significantly with regard to cancer characteristics, such as mortality and tumor subtype. Future research should disaggregate these populations to better understand, treat, and counsel Asian patients with breast cancer.
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Affiliation(s)
| | - Samantha M Thomas
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.,Duke Cancer Institute, Durham, North Carolina
| | - Gayle D DiLalla
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Rachel A Greenup
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - E Shelley Hwang
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.,Duke Cancer Institute, Durham, North Carolina
| | - Carolyn S Menendez
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Jennifer K Plichta
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Lisa A Tolnitch
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina
| | - Oluwadamilola M Fayanju
- Duke Cancer Institute, Durham, North Carolina.,Division of Surgical Oncology, Department of Surgery, Duke University School of Medicine, Durham, North Carolina.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.,Department of Surgery, Durham Veterans Affairs Medical Center, Durham, North Carolina
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29
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Rencsok E, George DJ, Kantoff PW, Villanti P, Vinson J, Gerke TA, Hyslop T, Mucci LA. First look at patient reported outcomes from IRONMAN, the international registry of men with advanced prostate cancer. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
69 Background: While population-based estimates of advanced prostate cancer survivors are lacking, an estimated 180,000 men in the US are living with metastatic prostate cancer. Their survivorship experience is distinct from localized patients as they suffer quality of life detriments both due to the severity of disease and its therapies. We examined quality-of-life indictors among men in the IRONMAN global registry of advanced prostate cancer. Methods: IRONMAN (International Registry of Men with Advanced Prostate Cancer) is a population-based prospective study of men with newly diagnosed advanced, metastatic hormone-sensitive (mHSPC) and castration-resistant prostate cancer (CRPC) enrolled from 16 countries. We report data from first 1865 men enrolled, 1567 who completed a baseline Patient Reported Outcome Measure (PROM) in the US (N=581), Canada (N=245), Spain (N=166), UK (N=204), Australia (N=126), Switzerland (N=88), Sweden (N=70), Ireland (N=46), and Brazil (N=41). PROMs are collected at baseline and every three months using electronic (90%) or paper versions of validated questionnaires. Results: The cohort includes 1,128 men with mHSPC and 737 with CRPC. Based on self-report, 9% of men overall (18% in the US) are Black and 83% are white (78% in the US). Sleep problems were common among men at enrollment, with 59% of men reporting problems with insomnia. The prevalence was similarly high among men with mHSPC or CRPC disease. Ten percent of men reported that pain substantially interfered with daily activities, and 24% reported pain had some effect. Physical functioning was high among both mHSPC (median 93.3, 80-100) and CRPC (median 86.7, 73.3-100) patients based on EORTC QLQ-30. Global health status was similar between the two groups (median 75, 58.3 - 83.3). More than 25% of men reported some cognitive impairment at baseline. Financial difficulties due to the disease and treatment were quite high, ranging from 12% in Sweden, 16% in Canada and Spain, 34% in the US, and 46% in Brazil. Conclusions: Men with advanced prostate cancer experience a range of quality of life detriments which impair overall health. While at baseline, many of these measures were similar among men with mHSPC and CRPC, we will continue to monitor these over time to examine changes in quality of life associated with disease progression and treatments. A longer-term goal is to identify opportunities for intervention to improve quality of life and potentially improve survival. Clinical trial information: NCT03151629.
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Affiliation(s)
| | | | - Philip W. Kantoff
- Memorial Sloan Kettering Cancer Center, NY, NY, Convergent Therapeutics, Inc., Cambridge, MA
| | | | - Jake Vinson
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC
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30
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George DJ, Mucci LA, Kantoff PW, Villanti P, Vinson J, Gerke TA, Hyslop T, Rencsok E. IRONMAN: The international registry for men with advanced prostate cancer. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.6_suppl.tps190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
TPS190 Background: Men with advanced prostate cancer (APC) experience high mortality and severely impacted quality of life due to the disease itself as well as its therapies, with Black men facing the highest disease burden. The treatment landscape for APC is rapidly changing; however, little is known about the real-life experience of men receiving new therapies. There is an urgent need to identify disparities in treatment patterns and outcomes in advanced disease, based on patient and country demographics. The International Registry for Men with Advanced Prostate Cancer (IRONMAN) is uniquely equipped to meet these needs. Methods: IRONMAN is a population-based prospective cohort of men with newly diagnosed metastatic hormone-sensitive (mHSPC) and castration-resistant (CRPC) prostate cancer aiming to enroll 5,000 men across 16 countries (Australia, the Bahamas, Barbados, Brazil, Canada, Ireland, Jamaica, Kenya, Nigeria, Norway, South Africa, Spain, Sweden, Switzerland, United Kingdom, Untied States). Patients are followed prospectively for overall survival, clinically significant adverse events, changes in cancer treatments, biomarkers, and Patient-Reported Outcome Measures (PROMs). Data is collected via longitudinal electronic questionnaires from patients and providers as well as blood samples and medical records. IRONMAN is currently enrolling in 10 countries at 103 sites. Sites were selected to create a diverse cohort across race/ethnicity, rural/urban populations, socioeconomic factors, and geographic regions. Of the first 1,865 men enrolled to date, 60% have mHSPC and 40% have CRPC; overall, 9% of men (18% in the US) self-identify as Black and 82% identify as white (78% in the US). 60% (N = 1,111) of this cohort has been enrolled outside of the US, and the median age at study entry is 70 years. The distribution and demographics of patients are continuously monitored to inform ongoing enrollment efforts. The IRONMAN Diversity Working Group meets monthly to discuss barriers and strategies to enhance enrollment of a racially and ethnically diverse population. The Low- and Middle-Income Country Working Group addresses the unique needs of men being recruited from the Caribbean and African sites in addition to supporting broad oncology efforts in these regions. These efforts support IRONMAN’s larger goal to investigate disparities in the care of patients with APC, having potential implications for decreasing racial disparities in survival outcomes. Clinical trial information: NCT03151629.
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Affiliation(s)
| | | | - Philip W. Kantoff
- Memorial Sloan Kettering Cancer Center, NY, NY, Convergent Therapeutics, Inc., Cambridge, MA
| | | | - Jake Vinson
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC
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31
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Schmitz RSJM, van den Belt-Dusebout SW, Cresta C, Liu YH, Schaapveld M, Clements K, Timbres J, Byng DT, Ryser MD, Ren Y, Lynch T, Hyslop T, Menegaz B, Collyar D, Hwang S, Thompson A, Sawyer E, Wesseling J, Lips EH, Schmidt MK. Abstract P1-22-02: Subsequent risk of ipsilateral breast events in a multinational DCIS cohort of 48.619 patients: A meta-analysis within the PRECISION consortium. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p1-22-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: The PRECISION (PREvent ductal Carcinoma In Situ Invasive Overtreatment Now) CRUK Grand Challenge project focusses on discriminating hazardous from indolent ductal carcinoma in situ (DCIS). Aim of these analyses is to identify factors associated with a lower or higher risk of developing invasive breast cancer after an initial DCIS diagnosis. Knowledge of these factors is crucial in our quest to reducing overtreatment for women with DCIS. Many clinicopathological features are hypothesized to be important factors affecting the risk of a subsequent breast lesion. Most studies performed so far are from trial or single country studies, we now present an integrated analysis of four different cohorts from three countries.Methods: Four cohorts from the three countries participating in PRECISION were identified. A population based cohort from the Netherlands cancer registry (Dutch cohort); a population based, prospective, screening cohort from the United Kingdom (Sloane cohort); a single center cohort from MD Anderson Cancer Center (MDACC) and a subset of DCIS patients abstracted from a population based National Cancer Database Special Study cohort (NCDB subset) in the United States. Patient-level data from these cohorts were combined for this analysis. Subsequent ipsilateral invasive breast cancer (iIBC) and subsequent ipsilateral DCIS (iDCIS) were assessed at five and ten years by Kaplan Meier analysis. The cumulative incidence of iIBC was assessed in three treatment groups: breast conserving surgery only (BCS), breast conserving surgery with radiotherapy (BCS+RT) and mastectomy (MST). Cumulative incidence of iDCIS was assessed in patients receiving BCS or BCS+RT. Additionally, cumulative incidences were calculated for iIBC and IDCIS in patients who received endocrine treatment (ET) after BCS or BCS+RT versus patients who did not receive ET. All cumulative incidences were calculated with death as competing risk. Results: The joint PRECISION cohort consisted of 48,619 patients, diagnosed between 1999 and 2017. Median follow-up was 7.4 years (0.6-17.9). In preliminary analyses, Kaplan Meier curves showed broadly similar risks in iIBC and iDCIS between the four different cohorts. The cumulative incidence of iIBC was 1.6% at five years and 3.5% at 10 years. Five-year cumulative incidence of iIBC was highest in patients receiving BCS (3.4%) compared with patients receiving BCS+RT or MST (1.3%). The cumulative incidence of iDCIS was 1.7% at 5 years and 2.4% at 10 years. Five-year cumulative incidence of iDCIS was higher in patients receiving BCS (3.5%) compared to patients receiving BCS+RT (1.9%). In univariate analyses, the effect of ET on cumulative incidence of both iIBC and iDCIS was modest, especially with respect to radiotherapy. Conclusion: Overall, 5- and 10-year incidence of an ipsilateral in situ or invasive breast lesion was low and similar between the four different cohorts. The incidence of iIBC and iDCIS was higher in patients receiving BCS, compared to women receiving BCS+RT or MST.
Table 1.Cohort and patient characteristicsDutch Cohort Sloane MDACCNCDB subsetTotal CohortN=18,995N=8,425N=1,820N=19,379N=48,619Cohort descriptionProspectiveNoYesNoNoPopulation basedYesYesNo, single centerYesScreening and non-screeningYesScreening onlyYesYesMean (min - max)Mean (min - max)Mean (min - max)Mean (min-max)Mean (min-max)Age diagnosis DCIS58.3 (21-94)59.8 (46-88)55.6 (20-90)59.7 (20-98)59.0 (20-98)Year of diagnosis (range)1999-20152003-20121999-20172007-20151999-2017Follow-up in years10.4 (0.5-21.1)5.3 (0.5-9.7)8.7 (0.25-17.8)5.8 (0.5-10.7)7.6 (0.25-2.1)N (%)N (%)N (%)N (%)N (%)GradeGrade 12,844 (15.0)784 (9.3)141 (7.8)3,158 (16.3)6,927 (14.3)Grade 25,952 (31.3)2,328 (27.6)737 (40.5)6,844 (35.3)15,861 (32.6)Grade 38,944 (47.1)5,305 (62.9)933 (51.3)7,848 (40.5)23,030 (47.3)Unknown grade1,255 (6.6)8 (0.1)9 (0.5)1,529 (7.9)2,801 (5.8)Type of surgeryBreast conserving surgery (BCS)11,790 (62.1)5,830 (69.2)1,031 (56.7)14,504 (74.8)33,155 (68.2)Mastectomy (MST)7,205 (37.9)2,595 (30.8)789 (43.4)4,875 (25.2)15,464 (31.8)Adjuvant treatmentRadiotherapy (RT)9,650 (50.8)3,418 (40.6)762 (41.9)10,620 (54.8)24,450 (50.3)Endocrine treatmentNA1,151 (13.6)999 (54.9)8,849 (45.7)10,999 (37.0)5 years Cumulative IncidencesiIBC1.4%2.3%1.6%1.7%1.6%iDCIS1.5%2.0%1.6%1.7%1.7%Vital statusAlive16,472 (86.7)8,147 (96.7)1,668 (91.7)18,161 (93.7)44,448 (91.4)Deceased2,523 (13.3)278 (3.3)152 (8.4)1,218 (6.3)4,171 (8.6)This work was supported by Cancer Research UK and by KWF Dutch Cancer Society (ref.C38317/A24043)
Citation Format: Renée SJM Schmitz, Sandra W van den Belt-Dusebout, Chiara Cresta, Yat-Hee Liu, Michael Schaapveld, Karen Clements, Jasmine Timbres, Danalyn T Byng, Marc D Ryser, Yi Ren, Thomas Lynch, Terry Hyslop, Brian Menegaz, Deborah Collyar, Shelley Hwang, Alastair Thompson, Elinor Sawyer, Jelle Wesseling, Esther H Lips, Marjanka K Schmidt, Grand Challenge PRECISION consortium. Subsequent risk of ipsilateral breast events in a multinational DCIS cohort of 48.619 patients: A meta-analysis within the PRECISION consortium [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-22-02.
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Affiliation(s)
| | | | - Chiara Cresta
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Yat-Hee Liu
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | | | | | | | - Yi Ren
- Duke University, Durham, NC
| | | | | | | | | | | | | | | | | | - Esther H Lips
- Netherlands Cancer Institute, Amsterdam, Netherlands
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Prakash I, Neely NB, Thomas SM, Sammons S, Blitzblau RC, DiLalla GA, Hyslop T, Menendez CS, Plichta JK, Rosenberger LH, Fayanju OM, Hwang ES, Greenup RA. Utilization of neoadjuvant chemotherapy in high-risk, node-negative early breast cancer. Cancer Med 2022; 11:1099-1108. [PMID: 34989142 PMCID: PMC8855910 DOI: 10.1002/cam4.4517] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/02/2021] [Accepted: 09/17/2021] [Indexed: 11/10/2022] Open
Abstract
Background Controversy exists regarding the optimal sequence of chemotherapy among women with operable node‐negative breast cancers with high‐risk tumor biology. We evaluated national patterns of neoadjuvant chemotherapy (NACT) use among women with early‐stage HER2+, triple‐negative (TNBC), and high‐risk hormone receptor‐positive (HR+) invasive breast cancers. Methods Women ≥18 years with cT1‐2/cN0 HER2+, TNBC, or high recurrence risk score (≥31) HR+ invasive breast cancers who received chemotherapy were identified in the National Cancer Database (2010–2016). Cochran‐Armitage and logistic regression examined temporal trends and likelihood of undergoing NACT versus adjuvant chemotherapy based on patient age and molecular subtype. Results Overall, 96,622 patients met study criteria; 25% received NACT and 75% underwent surgery first, with comparable 5‐year estimates of overall survival (0.90, 95% CI 0.892–0.905 vs 0.91, 95% CI 0.907–0.913). During the study period, utilization of NACT increased from 14% to 36% and varied according to molecular subtype (year*molecular subtype p < 0.001, p‐corrected < 0.001). Women with HER2+ (OR 4.17, 95% CI 3.70–4.60, p < 0.001, p‐corrected < 0.001) and TNBC (OR 3.81, 95% CI 3.38–4.31, p < 0.001, p‐corrected < 0.001) were more likely to receive NACT over time, without a change in use among those with HR+ disease (OR 1.58, 95% CI 0.88–2.87, p = 0.13, p‐corrected = 0.17). Conclusion Among women with early‐stage triple‐negative and HER2+ breast cancers, utilization of NACT increased over time, a trend that correlates with previously reported improved rates of pCR and options post‐neoadjuvant treatment with residual disease. Future research is needed to better understand multidisciplinary decisions for NACT and implications for breast cancer patients.
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Affiliation(s)
- Ipshita Prakash
- Department of Surgery, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - N Ben Neely
- Duke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA
| | - Samantha M Thomas
- Duke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA.,Duke Cancer Institute, Durham, North Carolina, USA
| | - Sarah Sammons
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Rachel C Blitzblau
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Gayle A DiLalla
- Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Terry Hyslop
- Duke Department of Biostatistics & Bioinformatics, Durham, North Carolina, USA.,Duke Cancer Institute, Durham, North Carolina, USA
| | - Carolyn S Menendez
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jennifer K Plichta
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA.,Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - Laura H Rosenberger
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Oluwadamilola M Fayanju
- Division of Endocrine and Oncologic Surgery, Department of Surgery, Perelman School of Medicine, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Rena Rowan Breast Center, Abramson Cancer Center, Philadelphia, Pennsylvania, USA.,Yale Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA
| | - E Shelley Hwang
- Duke Cancer Institute, Durham, North Carolina, USA.,Department of Surgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Rachel A Greenup
- Yale Department of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.,Yale Cancer Outcomes, Public Policy and Effectiveness Research Center (COPPER), Yale School of Medicine and Yale Cancer Center, New Haven, Connecticut, USA
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Skaar DA, Dietze EC, Alva-Ornelas JA, Ann D, Schones DE, Hyslop T, Sistrunk C, Zalles C, Ambrose A, Kennedy K, Idassi O, Miranda Carboni G, Gould MN, Jirtle RL, Seewaldt VL. Epigenetic Dysregulation of KCNK9 Imprinting and Triple-Negative Breast Cancer. Cancers (Basel) 2021; 13:cancers13236031. [PMID: 34885139 PMCID: PMC8656495 DOI: 10.3390/cancers13236031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 11/26/2021] [Indexed: 12/02/2022] Open
Abstract
Simple Summary Genomic imprinting is an inherited form of parent-of-origin specific epigenetic gene regulation that is dysregulated by poor prenatal nutrition and environmental toxins. Here, we showed that KCNK9 is imprinted in breast tissue and identified the differentially methylated region (DMR) controlling its imprint status. Hypomethylation at the DMR, coupled with biallelic expression of KCNK9, occurred in 63% of triple-negative breast cancers (TNBC). The association between hypomethylation and TNBC status was highly significant in African-Americans (p = 0.006), but not in Caucasians (p = 0.70). The high frequency of KCNK9 DMR hypomethylation in TNBC and non-cancerous breast tissue from high-risk women provides evidence that hypomethylation of the KNCK9 DMR/TASK3 overexpression may provide a new target for prevention of TNBC. Abstract Genomic imprinting is an inherited form of parent-of-origin specific epigenetic gene regulation that is dysregulated by poor prenatal nutrition and environmental toxins. KCNK9 encodes for TASK3, a pH-regulated potassium channel membrane protein that is overexpressed in 40% of breast cancer. However, KCNK9 gene amplification accounts for increased expression in <10% of these breast cancers. Here, we showed that KCNK9 is imprinted in breast tissue and identified a differentially methylated region (DMR) controlling its imprint status. Hypomethylation at the DMR, coupled with biallelic expression of KCNK9, occurred in 63% of triple-negative breast cancers (TNBC). The association between hypomethylation and TNBC status was highly significant in African-Americans (p = 0.006), but not in Caucasians (p = 0.70). KCNK9 hypomethylation was also found in non-cancerous tissue from 77% of women at high-risk of developing breast cancer. Functional studies demonstrated that the KCNK9 gene product, TASK3, regulates mitochondrial membrane potential and apoptosis-sensitivity. In TNBC cells and non-cancerous mammary epithelial cells from high-risk women, hypomethylation of the KCNK9 DMR predicts for increased TASK3 expression and mitochondrial membrane potential (p < 0.001). This is the first identification of the KCNK9 DMR in mammary epithelial cells and demonstration that its hypomethylation in breast cancer is associated with increases in both mitochondrial membrane potential and apoptosis resistance. The high frequency of hypomethylation of the KCNK9 DMR in TNBC and non-cancerous breast tissue from high-risk women provides evidence that hypomethylation of the KNCK9 DMR/TASK3 overexpression may serve as a marker of risk and a target for prevention of TNBC, particularly in African American women.
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Affiliation(s)
- David A. Skaar
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA;
| | - Eric C. Dietze
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Jackelyn A. Alva-Ornelas
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - David Ann
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Dustin E. Schones
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Terry Hyslop
- Department of Biostatistics, School of Medicine, Duke University, Durham, NC 27710, USA;
| | - Christopher Sistrunk
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Carola Zalles
- Department of Pathology, Mercy Hospital, Miami, FL 33133, USA;
| | - Adrian Ambrose
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Kendall Kennedy
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Ombeni Idassi
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
| | - Gustavo Miranda Carboni
- Laboratory of Oncology, Department of Oncology, School of Medicine, University of Tennessee Health Science, Memphis, TN 38163, USA;
| | - Michael N. Gould
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, WI 53706, USA;
| | - Randy L. Jirtle
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA;
- Correspondence: (R.L.J.); (V.L.S.)
| | - Victoria L. Seewaldt
- Beckman Research Institute, Department of Population Sciences, City of Hope, Duarte, CA 91010, USA; (E.C.D.); (J.A.A.-O.); (D.A.); (D.E.S.); (C.S.); (A.A.); (K.K.); (O.I.)
- Correspondence: (R.L.J.); (V.L.S.)
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Zullig LL, Shahsahebi M, Neely B, Hyslop T, Avecilla RAV, Griffin BM, Clayton-Stiglbauer K, Coles T, Owen L, Reeve BB, Shah K, Shelby RA, Sutton L, Dinan MA, Zafar SY, Shah NP, Dent S, Oeffinger KC. Low-touch, team-based care for co-morbidity management in cancer patients: the ONE TEAM randomized controlled trial. BMC Fam Pract 2021; 22:234. [PMID: 34794388 PMCID: PMC8600877 DOI: 10.1186/s12875-021-01569-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 10/19/2021] [Indexed: 01/22/2023]
Abstract
Background As treatments for cancer have improved, more people are surviving cancer. However, compared to people without a history of cancer, cancer survivors are more likely to die of cardiovascular disease (CVD). Increased risk for CVD-related mortality among cancer survivors is partially due to lack of medication adherence and problems that exist in care coordination between cancer specialists, primary care physicians, and cardiologists. Methods/Design The Onco-primary care networking to support TEAM-based care (ONE TEAM) study is an 18-month cluster-randomized controlled trial with clustering at the primary care clinic level. ONE TEAM compares the provision of the iGuide intervention to patients and primary care providers versus an education-only control. For phase 1, at the patient level, the intervention includes video vignettes and a live webinar; provider-level interventions include electronic health records-based communication and case-based webinars. Participants will be enrolled from across North Carolina one of their first visits with a cancer specialist (e.g., surgeon, radiation or medical oncologist). We use a sequential multiple assignment randomized trial (SMART) design. Outcomes (measured at the patient level) will include Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of management of three CVD comorbidities using laboratory testing (glycated hemoglobin [A1c], lipid profile) and blood pressure measurements; (2) medication adherence assessed pharmacy refill data using Proportion of Days Covered (PDC); and (3) patient-provider communication (Patient-Centered Communication in Cancer Care, PCC-Ca-36). Primary care clinics in the intervention arm will be considered non-responders if 90% or more of their participating patients do not meet the modified HEDIS quality metrics at the 6-month measurement, assessed once the first enrollee from each practice reaches the 12-month mark. Non-responders will be re-randomized to either continue to receive the iGuide 1 intervention, or to receive the iGuide 2 intervention, which includes tailored videos for participants and specialist consults with primary care providers. Discussion As the population of cancer survivors grows, ONE TEAM will contribute to closing the CVD outcomes gap among cancer survivors by optimizing and integrating cancer care and primary care teams. ONE TEAM is designed so that it will be possible for others to emulate and implement at scale. Trial registration This study (NCT04258813) was registered in clinicaltrals.gov on February 6, 2020.
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Affiliation(s)
- Leah L Zullig
- Department of Population Health Sciences, Duke University School Of Medicine, 215 Morris St, Durham, NC, 27701, USA. .,Department of Population Health Sciences, Duke University School of Medicine, 411 West Chapel Hill Street, Suite 600, Durham, NC, 27701, USA.
| | - Mohammad Shahsahebi
- Duke University Family Medicine and Community Health, 2424 Erwin Rd, Ste 601, DUMC, Box 2714, Durham, NC, 27705, USA.,Center for Onco-Primary Care, Duke Cancer Institute, 2424 Erwin Road, Hock Plaza, Ste 601, Durham, NC, 27705, USA
| | - Benjamin Neely
- Duke Cancer Institute, Duke University, 2424 Erwin Rd, Durham, NC, 27701, USA
| | - Terry Hyslop
- Department of Biostatistics, Duke University, 2424 Erwin Road, 9064 Hock Plaza, Durham, NC, 27705, USA
| | - Renee A V Avecilla
- Center for Onco-Primary Care, Duke Cancer Institute, 2424 Erwin Road, Hock Plaza, Ste 601, Durham, NC, 27705, USA
| | - Brittany M Griffin
- Center for Onco-Primary Care, Duke Cancer Institute, 2424 Erwin Road, Hock Plaza, Ste 601, Durham, NC, 27705, USA
| | - Kacey Clayton-Stiglbauer
- Center for Onco-Primary Care, Duke Cancer Institute, 2424 Erwin Road, Hock Plaza, Ste 601, Durham, NC, 27705, USA
| | - Theresa Coles
- Department of Population Health Sciences, Duke University School Of Medicine, 215 Morris St, Durham, NC, 27701, USA
| | - Lynda Owen
- Duke Cancer Network, 20 Duke Medicine Circle, Durham, NC, 27710, USA
| | - Bryce B Reeve
- Department of Population Health Sciences, Duke University School Of Medicine, 215 Morris St, Durham, NC, 27701, USA
| | - Kevin Shah
- Duke Institute for Health Innovation, Duke University Health System, 200 Morris St, Durham, NC, 27701, USA
| | - Rebecca A Shelby
- Duke Psychiatry and Behavioral Sciences, Duke University School of Medicine, 2200 W. Main St, Ste 340, Durham, NC, 27705, USA
| | - Linda Sutton
- Duke Cancer Network, 20 Duke Medicine Circle, Durham, NC, 27710, USA
| | - Michaela A Dinan
- Department of Chronic Disease Epidemiology, Yale School of Public Health, 60 College Street, New Haven, CT, 06510, USA
| | - S Yousuf Zafar
- Duke University School of Medicine, 2200 W. Main St, Ste 340, Durham, NC, 27705, USA
| | - Nishant P Shah
- Duke Heart Center, Duke University School of Medicine, 2200 W. Main St, Ste 340, Durham, NC, 27705, USA
| | - Susan Dent
- Duke Cancer Institute, Duke University, 2200 W. Main St, Ste 340, Durham, NC, 27705, USA
| | - Kevin C Oeffinger
- Duke Cancer Institute, Duke University School of Medicine, 2200 W. Main St, Ste 340, Durham, NC, 27705, USA
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Sarver MM, Rames JD, Ren Y, Greenup RA, Hwang ESS, Hollenbeck ST, Hyslop T, Butler PD, Phillips BT, Fayanju OM. Racial and Ethnic Disparities in Surgical Outcomes after Postmastectomy Breast Reconstruction. J Am Coll Surg 2021. [DOI: 10.1016/j.jamcollsurg.2021.07.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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George DJ, Halabi S, Heath EI, Sartor AO, Sonpavde GP, Das D, Bitting RL, Berry W, Healy P, Anand M, Winters C, Riggan C, Kephart J, Wilder R, Shobe K, Rasmussen J, Milowsky MI, Fleming MT, Bearden J, Goodman M, Zhang T, Harrison MR, McNamara M, Zhang D, LaCroix BL, Kittles RA, Patierno BM, Sibley AB, Patierno SR, Owzar K, Hyslop T, Freedman JA, Armstrong AJ. A prospective trial of abiraterone acetate plus prednisone in Black and White men with metastatic castrate-resistant prostate cancer. Cancer 2021; 127:2954-2965. [PMID: 33951180 PMCID: PMC9527760 DOI: 10.1002/cncr.33589] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 02/11/2021] [Accepted: 02/12/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND Retrospective analyses of randomized trials suggest that Black men with metastatic castration-resistant prostate cancer (mCRPC) have longer survival than White men. The authors conducted a prospective study of abiraterone acetate plus prednisone to explore outcomes by race. METHODS This race-stratified, multicenter study estimated radiographic progression-free survival (rPFS) in Black and White men with mCRPC. Secondary end points included prostate-specific antigen (PSA) kinetics, overall survival (OS), and safety. Exploratory analysis included genome-wide genotyping to identify single nucleotide polymorphisms associated with progression in a model incorporating genetic ancestry. One hundred patients self-identified as White (n = 50) or Black (n = 50) were enrolled. Eligibility criteria were modified to facilitate the enrollment of individual Black patients. RESULTS The median rPFS for Black and White patients was 16.6 and 16.8 months, respectively; their times to PSA progression (TTP) were 16.6 and 11.5 months, respectively; and their OS was 35.9 and 35.7 months, respectively. Estimated rates of PSA decline by ≥50% in Black and White patients were 74% and 66%, respectively; and PSA declines to <0.2 ng/mL were 26% and 10%, respectively. Rates of grade 3 and 4 hypertension, hypokalemia, and hyperglycemia were higher in Black men. CONCLUSIONS Multicenter prospective studies by race are feasible in men with mCRPC but require less restrictive eligibility. Despite higher comorbidity rates, Black patients demonstrated rPFS and OS similar to those of White patients and trended toward greater TTP and PSA declines, consistent with retrospective reports. Importantly, Black men may have higher side-effect rates than White men. This exploratory genome-wide analysis of TTP identified a possible candidate marker of ancestry-dependent treatment outcomes.
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Affiliation(s)
- Daniel J. George
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Susan Halabi
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | | | - A. Oliver Sartor
- Tulane Cancer Center, Tulane Health Sciences Center, New Orleans, Louisiana
| | - Guru P. Sonpavde
- Hematology and Oncology Division, Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | - Devika Das
- Hematology and Oncology Division, Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | - Rhonda L. Bitting
- Comprehensive Cancer Center, Wake Forest University, Winston Salem, North Carolina
| | - William Berry
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Patrick Healy
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Monika Anand
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Carol Winters
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Colleen Riggan
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Julie Kephart
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Rhonda Wilder
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Kellie Shobe
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Julia Rasmussen
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Matthew I. Milowsky
- Department of Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | | | | | - Michael Goodman
- W.G. (Bill) Hefner VA Medical Center, Salisbury, North Carolina
| | - Tian Zhang
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Michael R. Harrison
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Megan McNamara
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Dadong Zhang
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina
| | - Bonnie L. LaCroix
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Rick A. Kittles
- Department of Population Sciences, Division of Health Equities, City of Hope National Medical Center, Duarte, California
| | - Brendon M. Patierno
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Alexander B. Sibley
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina
| | - Steven R. Patierno
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Kouros Owzar
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
- Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina
| | - Terry Hyslop
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Jennifer A. Freedman
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
| | - Andrew J. Armstrong
- Department of Medicine, Division of Medical Oncology, Duke University, Durham, North Carolina
- Center for Prostate and Urologic Cancers, Duke Cancer Institute, Duke University, Durham, North Carolina
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Byng D, Retel VP, van Harten W, Rushing CN, Thomas SM, Lynch T, McCarthy A, Francescatti AB, Frank ES, Partridge AH, Thompson AM, Grimm L, Hyslop T, Hwang ESS, Ryser MD. Disparities in surveillance imaging after breast conserving surgery for primary DCIS. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.6516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
6516 Background: Due to the elevated risk of ipsilateral invasive breast cancer (iIBC) after diagnosis with primary ductal carcinoma in situ (DCIS), professional guidelines recommend surveillance screening within 6-12 months (mo) after completion of initial local treatment and annually thereafter. To characterize adherence to these guidelines, we explored longitudinal patterns of utilization and factors associated with the use of surveillance imaging (mammography, MRI, ultrasound) for women with primary DCIS treated with breast conserving surgery (BCS) ± radiotherapy (RT) within 6 mo of diagnosis. Methods: A treatment-stratified random sample of patients diagnosed with screen-detected and biopsy-confirmed DCIS in 2008-15 was selected from 1,330 Commission on Cancer-accredited facilities (up to 20/site) in the US. All imaging exams coded as asymptomatic were collected from 6 mo up to 10 years (yr) post-diagnosis. Time was defined according to 12-mo long surveillance periods. To be included in a given surveillance period, women had to be alive and free of a new breast cancer diagnosis through the end of the period. Women were classified as “consistent” screeners if they had at least one surveillance screen during each period, for the first 5 yr post-treatment or until censoring, whichever occurred first. Repeated measures multivariable logistic regression with generalized estimating equations was used to model receipt of surveillance breast imaging over time. The model included clinical and socioeconomic features. Results: The final analytic cohort contained 12,559 women; 8,989 (71.6%) received RT after BCS. Median age was 60 yr (interquartile range: 52-69) and median follow-up was 5.6 yr (95% confidence interval [CI] 5.6-5.7). Among women who received BCS (instead of BCS+RT), 62.5% (79.7%) underwent surveillance imaging within 6-18 mo after diagnosis. 38.7% (54.0%) were categorized as “consistent” screeners. Compared to white women, Black women were less likely to receive surveillance screening after treatment for primary DCIS (odds ratio [OR] 0.85, 95% CI 0.77-0.94). Hispanic ethnicity had a similar association (OR 0.86, 95% CI 0.74-0.99) compared to non-Hispanic ethnicity. Women with private insurance, compared to government insurance, were more likely to receive screening (OR 1.20, 95% CI 1.11-1.30). Prognostic tumor features indicative of a higher risk of subsequent iIBC, including higher grade, presence of comedonecrosis, and hormone receptor-negative DCIS, were not associated with screening uptake. Conclusions: Despite guidelines recommending annual surveillance imaging, many women with primary DCIS do not undergo regular imaging after BCS. The findings from this US-based study suggest that disparities in screening uptake are associated with race/ethnicity and insurance status rather than prognostic tumor features.
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Affiliation(s)
- Danalyn Byng
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | | | - Samantha M. Thomas
- Duke University Medical Center, Department of Biostatistics and Bioinformatics, Durham, NC
| | | | | | | | | | | | | | - Lars Grimm
- Duke University Medical Center, Durham, NC
| | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke Cancer Institute, Durham, NC
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38
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Hong JC, Hauser ER, Redding TS, Sims KJ, Gellad ZF, O'Leary MC, Hyslop T, Madison AN, Qin X, Weiss D, Bullard AJ, Williams CD, Sullivan BA, Lieberman D, Provenzale D. Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach. Sci Rep 2021; 11:8104. [PMID: 33854078 PMCID: PMC8046765 DOI: 10.1038/s41598-021-85546-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 12/14/2020] [Indexed: 12/13/2022] Open
Abstract
Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personalized preventative care. We applied a directed network graph to electronic health record (EHR) data and characterized comorbidities in a cohort of healthy veterans undergoing screening colonoscopy. The Veterans Affairs Cooperative Studies Program #380 was a prospective longitudinal study of screening and surveillance colonoscopy. We identified initial instances of three-digit ICD-9 diagnoses for participants with at least 5 years of linked EHR history (October 1999 to December 2015). For diagnoses affecting at least 10% of patients, we calculated pairwise chronological relative risk (RR). iGraph was used to produce directed graphs of comorbidities with RR > 1, as well as summary statistics, key diseases, and communities. A directed graph based on 2210 patients visualized longitudinal development of comorbidities. Top hub (preceding) diseases included ischemic heart disease, inflammatory and toxic neuropathy, and diabetes. Top authority (subsequent) diagnoses were acute kidney failure and hypertensive chronic kidney failure. Four communities of correlated comorbidities were identified. Close analysis of top hub and authority diagnoses demonstrated known relationships, correlated sequelae, and novel hypotheses. Directed network graphs portray chronologic comorbidity relationships. We identified relationships between comorbid diagnoses in this aging veteran cohort. This may direct healthcare prioritization and personalized care.
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Affiliation(s)
- Julian C Hong
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA. .,Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA. .,Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
| | - Elizabeth R Hauser
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Thomas S Redding
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
| | - Kellie J Sims
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
| | - Ziad F Gellad
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Medicine, Duke University, Durham, NC, USA
| | - Meghan C O'Leary
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
| | - Terry Hyslop
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - Ashton N Madison
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
| | - Xuejun Qin
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA
| | - David Weiss
- Cooperative Studies Program Coordinating Center, Perry Point VA Medical Center, Perry Point, MD, USA
| | - A Jasmine Bullard
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA
| | - Christina D Williams
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Medicine, Duke University, Durham, NC, USA
| | - Brian A Sullivan
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA.,Department of Medicine, Duke University, Durham, NC, USA
| | - David Lieberman
- VA Portland Health Care System, Portland, OR, USA.,Oregon Health and Science University, Portland, OR, USA
| | - Dawn Provenzale
- Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC, USA. .,Department of Medicine, Duke University, Durham, NC, USA.
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39
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Tait SD, Ren Y, Horton CC, Oshima SM, Thomas SM, Wright S, Caesar A, Plichta JK, Hwang ES, Greenup RA, Rosenberger LH, DiLalla GD, Menendez CS, Tolnitch L, Hyslop T, Nelson D, Fayanju OM. Characterizing participants in the North Carolina Breast and Cervical Cancer Control Program: A retrospective review of 90,000 women. Cancer 2021; 127:2515-2524. [PMID: 33826758 DOI: 10.1002/cncr.33473] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND The North Carolina Breast and Cervical Cancer Control Program (NC BCCCP) provides breast cancer screening services to underserved women to mitigate disparities in access to care. The authors sought to characterize this understudied population. METHODS Women 21 years old or older who underwent their first breast cancer screen through NC BCCCP from 2008 to 2018 were included. Demographic factors associated with the timeline of care and odds of a breast cancer diagnosis were identified with negative binomial and logistic regression, respectively. RESULTS Of the 88,893 women identified, 45.5% were non-Hispanic (NH) White, 30.9% were NH Black, 19.6% were Hispanic, 1.7% were American Indian, and 1.1% were Asian. Breast cancer was diagnosed in 2.5% of the women (n = 2255). Hispanic women were the least likely to be diagnosed with breast cancer (odds ratio vs NH White women, 0.40; 95% confidence interval [CI], 0.34-0.47). Among patients with breast pathology, the median time to diagnosis was 19 days (interquartile range [IQR], 10-33 days), and the time to treatment was 33 days (IQR, 19-54 days). After adjustments, a longer time to diagnosis was significantly associated with age (incidence rate ratio [IRR], 1.01; 95% CI, 1.01-1.02) and being NH Black (vs NH White; IRR, 1.17; 95% CI, 1.06-1.29). A longer time to treatment was significantly associated with age (IRR, 1.01; 95% CI, 1.01-1.01), being NH Black (vs NH White; IRR, 1.20; 95% CI, 1.10-1.31), and being Hispanic (vs NH White; IRR, 1.22; 95% CI, 1.05-1.41). CONCLUSIONS NC BCCCP participants with breast cancer received treatment within approximately 1 month of presentation, and this finding aligns with quality care benchmarks. Nevertheless, racial/ethnic disparities in timeliness of care persist, and this suggests opportunities for improvement. LAY SUMMARY This review of approximately 90,000 participants in a breast cancer screening program for uninsured and underinsured women highlights the importance of safety net programs in providing timely care to underserved patients. The authors found that the North Carolina Breast and Cervical Cancer Control Program met timeliness benchmarks from the Centers for Disease Control and Prevention across all racial/ethnic groups. However, non-Hispanic Black women experienced relative delays in the time to diagnosis, and both non-Hispanic Black women and Hispanic women experienced relative delays in the time to treatment. These findings demonstrate how racial/ethnic disparities in the timeliness of care can persist even within a program intended to reduce barriers to access.
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Affiliation(s)
- Sarah D Tait
- Duke University School of Medicine, Durham, North Carolina
| | - Yi Ren
- Duke University School of Medicine, Durham, North Carolina
| | - Cushanta C Horton
- North Carolina Department of Health and Human Services, Raleigh, North Carolina
| | | | | | - Sherry Wright
- North Carolina Department of Health and Human Services, Raleigh, North Carolina
| | - Awanya Caesar
- Lincoln Community Health Center, Durham, North Carolina
| | | | | | | | | | | | | | - Lisa Tolnitch
- Duke University School of Medicine, Durham, North Carolina
| | - Terry Hyslop
- Duke University School of Medicine, Durham, North Carolina
| | - Debi Nelson
- North Carolina Department of Health and Human Services, Raleigh, North Carolina
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40
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Magbanua MJM, Hendrix LH, Hyslop T, Barry WT, Winer EP, Hudis C, Toppmeyer D, Carey LA, Partridge AH, Pierga JY, Fehm T, Vidal-Martínez J, Mavroudis D, Garcia-Saenz JA, Stebbing J, Gazzaniga P, Manso L, Zamarchi R, Antelo ML, Mattos-Arruda LD, Generali D, Caldas C, Munzone E, Dirix L, Delson AL, Burstein HJ, Qadir M, Ma C, Scott JH, Bidard FC, Park JW, Rugo HS. Serial Analysis of Circulating Tumor Cells in Metastatic Breast Cancer Receiving First-Line Chemotherapy. J Natl Cancer Inst 2021; 113:443-452. [PMID: 32770247 PMCID: PMC8023821 DOI: 10.1093/jnci/djaa113] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 06/23/2020] [Accepted: 07/29/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We examined the prognostic significance of circulating tumor cell (CTC) dynamics during treatment in metastatic breast cancer (MBC) patients receiving first-line chemotherapy. METHODS Serial CTC data from 469 patients (2202 samples) were used to build a novel latent mixture model to identify groups with similar CTC trajectory (tCTC) patterns during the course of treatment. Cox regression was used to estimate hazard ratios for progression-free survival (PFS) and overall survival (OS) in groups based on baseline CTCs, combined CTC status at baseline to the end of cycle 1, and tCTC. Akaike information criterion was used to select the model that best predicted PFS and OS. RESULTS Latent mixture modeling revealed 4 distinct tCTC patterns: undetectable CTCs (56.9% ), low (23.7%), intermediate (14.5%), or high (4.9%). Patients with low, intermediate, and high tCTC patterns had statistically significant inferior PFS and OS compared with those with undetectable CTCs (P < .001). Akaike Information Criterion indicated that the tCTC model best predicted PFS and OS compared with baseline CTCs and combined CTC status at baseline to the end of cycle 1 models. Validation studies in an independent cohort of 1856 MBC patients confirmed these findings. Further validation using only a single pretreatment CTC measurement confirmed prognostic performance of the tCTC model. CONCLUSIONS We identified 4 novel prognostic groups in MBC based on similarities in tCTC patterns during chemotherapy. Prognostic groups included patients with very poor outcome (intermediate + high CTCs, 19.4%) who could benefit from more effective treatment. Our novel prognostic classification approach may be used for fine-tuning of CTC-based risk stratification strategies to guide future prospective clinical trials in MBC.
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Affiliation(s)
| | | | - Terry Hyslop
- Duke Cancer Institute, Duke University, Durham, NC, USA
| | - William T Barry
- Alliance Statistics and Data Center, Dana-Farber/Partners CancerCare, Boston, MA, USA
- Rho Inc., Raleigh, NC, USA
| | - Eric P Winer
- Dana-Farber/Partners CancerCare, Boston, MA, USA
| | - Clifford Hudis
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Lisa Anne Carey
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | | | - Jean-Yves Pierga
- Department of Medical Oncology, Institut Curie, PSL Research University, Paris, France
| | - Tanja Fehm
- Department of Gynecology and Obstetrics, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Dimitrios Mavroudis
- Laboratory of Translational Oncology, School of Medicine, University of Crete, Heraklion, Greece
- Department of Medical Oncology, University Hospital of Heraklion, Greece
| | | | - Justin Stebbing
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Paola Gazzaniga
- Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Rita Zamarchi
- Veneto Institute of Oncology IOV-IRCCS, Padua, Italy
| | - María Luisa Antelo
- Department of Hematology, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Leticia De Mattos-Arruda
- Val d’Hebron Institute of Oncology, Val d’Hebron University Hospital, and Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | - Carlos Caldas
- Cancer Research UK Cambridge Institute and Department of Oncology Li Ka Shing Centre, University of Cambridge, Cambridge, UK
| | - Elisabetta Munzone
- Division of Medical Senology, European Institute of Oncology, IRCCS, Milano, Italy
| | - Luc Dirix
- Translational Cancer Research Unit, GZA Hospitals Sint-Augustinus, Antwerp, Belgium
- University of Antwerp, Antwerp, Belgium
| | - Amy L Delson
- Breast Science Advocacy Group, University of California San Francisco, San Francisco, CA, USA
| | | | - Misbah Qadir
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Cynthia Ma
- Washington University School of Medicine, St. Louis, MO, USA
| | - Janet H Scott
- Division of Hematology Oncology, University of California San Francisco, San Francisco, CA, USA
| | | | - John W Park
- Division of Hematology Oncology, University of California San Francisco, San Francisco, CA, USA
| | - Hope S Rugo
- Division of Hematology Oncology, University of California San Francisco, San Francisco, CA, USA
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Grimm LJ, Neely B, Hou R, Selvakumaran V, Baker JA, Yoon SC, Ghate SV, Walsh R, Litton TP, Devalapalli A, Kim C, Soo MS, Hyslop T, Hwang ES, Lo JY. Mixed-Methods Study to Predict Upstaging of DCIS to Invasive Disease on Mammography. AJR Am J Roentgenol 2021; 216:903-911. [PMID: 32783550 PMCID: PMC10729920 DOI: 10.2214/ajr.20.23679] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND. The incidence of ductal carcinoma in situ (DCIS) has steadily increased, as have concerns regarding overtreatment. Active surveillance is a novel treatment strategy that avoids surgical excision, but identifying patients with occult invasive disease who should be excluded from active surveillance is challenging. Radiologists are not typically expected to predict the upstaging of DCIS to invasive disease, though they might be trained to perform this task. OBJECTIVE. The purpose of this study was to determine whether a mixed-methods two-stage observer study can improve radiologists' ability to predict upstaging of DCIS to invasive disease on mammography. METHODS. All cases of DCIS calcifications that underwent stereotactic biopsy between 2010 and 2015 were identified. Two cohorts were randomly generated, each containing 150 cases (120 pure DCIS cases and 30 DCIS cases upstaged to invasive disease at surgery). Nine breast radiologists reviewed the mammograms in the first cohort in a blinded fashion and scored the probability of upstaging to invasive disease. The radiologists then reviewed the cases and results collectively in a focus group to develop consensus criteria that could improve their ability to predict upstaging. The radiologists reviewed the mammograms from the second cohort in a blinded fashion and again scored the probability of upstaging. Statistical analysis compared the performances between rounds 1 and 2. RESULTS. The mean AUC for reader performance in predicting upstaging in round 1 was 0.623 (range, 0.514-0.684). In the focus group, radiologists agreed that upstaging was better predicted when an associated mass, asymmetry, or architectural distortion was present; when densely packed calcifications extended over a larger area; and when the most suspicious features were focused on rather than the most common features. Additionally, radiologists agreed that BI-RADS descriptors do not adequately characterize risk of invasion, and that microinvasive disease and smaller areas of DCIS will have poor prediction estimates. Reader performance significantly improved in round 2 (mean AUC, 0.765; range, 0.617-0.852; p = .045). CONCLUSION. A mixed-methods two-stage observer study identified factors that helped radiologists significantly improve their ability to predict upstaging of DCIS to invasive disease. CLINICAL IMPACT. Breast radiologists can be trained to better predict upstaging of DCIS to invasive disease, which may facilitate discussions with patients and referring providers.
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Affiliation(s)
- Lars J Grimm
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Benjamin Neely
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC
| | - Rui Hou
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Vignesh Selvakumaran
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Jay A Baker
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Sora C Yoon
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Sujata V Ghate
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Ruth Walsh
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Tyler P Litton
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
- Present address: Greensboro Imaging, Greensboro, NC
| | - Amrita Devalapalli
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
- Present address: Mecklenburg Radiology, Charlotte, NC
| | - Connie Kim
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Mary Scott Soo
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
| | - Terry Hyslop
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC
| | - E Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, NC
| | - Joseph Y Lo
- Department of Diagnostic Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710
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42
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Al Abo M, Hyslop T, Qin X, Owzar K, George DJ, Patierno SR, Freedman JA. Differential alternative RNA splicing and transcription events between tumors from African American and White patients in The Cancer Genome Atlas. Genomics 2021; 113:1234-1246. [PMID: 33705884 DOI: 10.1016/j.ygeno.2021.02.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 01/15/2021] [Accepted: 02/01/2021] [Indexed: 11/26/2022]
Abstract
Individuals of African ancestry suffer disproportionally from higher incidence, aggressiveness, and mortality for particular cancers. This disparity likely results from an interplay among differences in multiple determinants of health, including differences in tumor biology. We used The Cancer Genome Atlas (TCGA) SpliceSeq and TCGA aggregate expression datasets and identified differential alternative RNA splicing and transcription events (ARS/T) in cancers between self-identified African American (AA) and White (W) patients. We found that retained intron events were enriched among race-related ARS/T. In addition, on average, 12% of the most highly ranked race-related ARS/T overlapped between any two analyzed cancers. Moreover, the genes undergoing race-related ARS/T functioned in cancer-promoting pathways, and a number of race-related ARS/T were associated with patient survival. We built a web-application, CanSplice, to mine genomic datasets by self-identified race. The race-related targets have the potential to aid in the development of new biomarkers and therapeutics to mitigate cancer disparity.
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Affiliation(s)
- Muthana Al Abo
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Terry Hyslop
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Xiaodi Qin
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kouros Owzar
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Daniel J George
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Steven R Patierno
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Jennifer A Freedman
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
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43
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Fayanju OM, Ren Y, Stashko I, Power S, Thornton MJ, Marcom PK, Hyslop T, Hwang ES. Patient-reported causes of distress predict disparities in time to evaluation and time to treatment after breast cancer diagnosis. Cancer 2021; 127:757-768. [PMID: 33175437 PMCID: PMC7897266 DOI: 10.1002/cncr.33310] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 09/13/2020] [Accepted: 10/07/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND We examined whether the National Comprehensive Cancer Network distress thermometer (DT), a patient-reported outcome measure, could be used to identify levels and causes of distress associated with racial/ethnic disparities in time to care among patients with breast cancer. METHODS We identified women aged ≥18 years with stage 0-IV breast cancer who were diagnosed in a single health system between January 2014 and July 2016. The baseline visit was defined as the first postdiagnosis, pretreatment clinical evaluation. Zero-inflated negative binomial (ZINB) regression (modeling non-zero DT scores and DT scores = 0) and logistic regression (modeling DT score ≥ 4, threshold for social services referral) were used to examine associations between baseline score (0 = none to 10 = extreme) and types of stressors (emotional, familial, practical, physical, spiritual) after adjustment for race/ethnicity and other characteristics. Linear regression with log transformation was used to identify predictors of time to evaluation and time to treatment. RESULTS A total of 1029 women were included (median baseline DT score = 4). Emotional, physical, and practical stressors were associated with distress in both the ZINB and logistic models (all P < .05). Black patients (n = 258) were more likely to report no distress than Whites (n = 675; ZINB zero model odds ratio, 2.72; 95% CI, 1.68-4.40; P < .001) despite reporting a similar number of stressors (P = .07). Higher DT scores were associated with shorter time to evaluation and time to treatment while being Black and having physical or practical stressors were associated with delays in both (all P < .05). CONCLUSIONS Patient-reported stressors predicted delays in time to care, but patient-reported levels of distress did not, with Black patients having delayed time to care despite reporting low levels of distress. We describe anticipatory, culturally responsive strategies for using patient-reported outcomes to address observed disparities.
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Affiliation(s)
- Oluwadamilola M. Fayanju
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Women’s Cancer Program, Duke Cancer Institute, Durham, North Carolina
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
- Duke Forge, Duke University, Durham, North Carolina
- Department of Surgery, Durham VA Medical Center, Durham, North Carolina
| | - Yi Ren
- Biostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina
| | - Ilona Stashko
- Biostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina
| | - Steve Power
- Department of Quality and Outcomes, Duke Cancer Institute, Durham, North Carolina
| | | | - P. Kelly Marcom
- Women’s Cancer Program, Duke Cancer Institute, Durham, North Carolina
- Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Terry Hyslop
- Biostatistics Shared Resource, Duke Cancer Institute, Durham, North Carolina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - E. Shelley Hwang
- Department of Surgery, Duke University Medical Center, Durham, North Carolina
- Women’s Cancer Program, Duke Cancer Institute, Durham, North Carolina
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Punglia RS, Partridge A, Hwang S, Thompson A, Frank E, Pinto D, Collyar D, Basila D, Lynch T, Hyslop T, Ryser M, Ozanne E. Abstract PD5-06: Impact of an online ductal carcinoma in situ (DCIS) decision support tool on awareness of treatment options and knowledge of breast cancer risks. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd5-06] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background An interactive decision support tool (DST) was adapted to support patients diagnosed with DCIS who are making treatment decisions. The DST provides the following risk estimates over 10 years: 1) future DCIS or invasive breast cancer in the same breast, 2) the risk of dying from causes other than breast cancer, and 3) the risk of dying from invasive breast cancer. Estimates are personalized based on patient age and DCIS grade (low/intermediate versus high grade or “don’t know”) and were based on a model incorporating data from clinical trials and life tables. Methods The DST was implemented in collaboration with the COMET study on the website DCISoptions.org (www.dcisoptions.org). On the DST, personalized results are displayed separately using a 100-woman icon array and percentages with each outcome (future DCIS/invasive breast cancer, death due to breast cancer, death due to other causes) in a different color for each treatment selected by the patient (lumpectomy only, lumpectomy + radiation therapy, lumpectomy + endocrine therapy, lumpectomy + radiation and endocrine therapy, mastectomy with or without reconstruction, bilateral mastectomy with or without reconstruction). In addition, information regarding active monitoring was provided in descriptive terms without icon array display of personalized outcomes. DST users were defined as those who navigated to the website and entered age and DCIS grade allowing them to access the information about expected outcomes. Users were asked to complete an optional survey both prior to use of the DST and after to assess the impact of the DST on: 1) their awareness of options for DCIS treatment, 2) their willingness to consider these options, 3) their knowledge of mortality risks associated with DCIS, and 4) how helpful the DST was to them (after use only). Results As of June 1, 2020, there were 420 users of the DST (total) with 362 completing the pre-tool survey and 58 of whom completed the post-tool survey. Among all DST users, mean age was 54.0 (9.6 years SD) and DCIS was low/intermediate for 72.0%, high for 18.5% and unknown for the remaining 9.5%. Among users who submitted both the pre- and post-tool survey, median time spent on the tool was 10.4 minutes. Awareness of each treatment option was high and did not change with the tool: 90% among both pre-survey and post-survey users except for bilateral mastectomy which remained at 82.9% among pre-survey and post-survey responders. Among those users who completed the pre- and post-tool surveys, the DST increased the percentage of patients who believed the chance of dying from DCIS is very low from 60.3% at baseline to 74.1% (p<0.0001) and reduced the median estimated numerical risk of dying from DCIS in 10 years from 9.0% at baseline to 3.0% (p<0.0001). A large majority of DST users found the tool very helpful or helpful (79.3% of those who responded) in making a treatment decision for DCIS. Discussion DCIS patients have been shown to greatly overestimate the risks of dying from breast cancer and this has been associated with increased anxiety and potential overtreatment. Our personalized online DST significantly improved knowledge about DCIS risks. Future studies of the DST should assess patient characteristics associated with knowledge gains and whether improved knowledge translates to improved patient outcomes including more patient preference and values-based treatment decisions.
Citation Format: Rinaa Sujata Punglia, Ann Partridge, Shelley Hwang, Alastair Thompson, Elizabeth Frank, Donna Pinto, Deborah Collyar, Desiree Basila, Thomas Lynch, Terry Hyslop, Marc Ryser, Elissa Ozanne. Impact of an online ductal carcinoma in situ (DCIS) decision support tool on awareness of treatment options and knowledge of breast cancer risks [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD5-06.
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Affiliation(s)
| | | | | | | | | | - Donna Pinto
- 5COMET Patient Leadership Team, San Diego, CA
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Dent S, Broadwater G, Hyslop T, Oeffinger K, Khouri M, Balu S, Kimmick G. Abstract PS10-48: Cardiovascular (CV) risk profile in patients with estrogen receptor (ER) positive HER2 negative advanced breast cancer (ABC): A retrospective cohort study (CAREB). Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-ps10-48] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: CDK 4/6 inhibitors in patients (pts) with HR+/HER2- ABC has led to significant improvements in clinical outcomes, however our understanding of the impact of these treatments on CV health is unknown. Gains in overall survival should not be offset by increased CV morbidity and mortality; a particular concern given the shared risk factors for both breast cancer and CV disease. Objective: The aim of this study was to describe patient characteristics, treatment patterns and cardiovascular risk factors and disease in pts with ABC treated with endocrine therapy (ET) or ET + CDK 4/6 inhibitor. Methods: We retrospectively studied pts with HR+/HER2- ABC who were receiving first line endocrine therapy. Post-menopausal (PM) women, pre-menopausal women on ovarian suppression (OS), and men were included. Two cohorts were included: Group A - treated with ET alone (2012-2014; prior to US approval of CDK 4/6 inhibitors) and Group B - treated with ET+ CDK 4/6 inhibitor (2015-2017). The following data was extracted from Duke University Health System’s electronic medical record (EPIC) and entered into a REDCap database: demographics, baseline cardiovascular risk factors, and co-morbidities. Pt characteristics are summarized using medians and interquartile ranges for continuous variables and categorical descriptions are summarized using frequencies and percentages. Results: In total 103 patients were included with 57 in Group A (ET alone) and 46 in Group B (ET + CDK 4/6 inhibitor). Median age was 62.0 and 63.5 years in Group A and B, respectively. Fifty-three (93%) of pts in Group A were PM women compared to 37 (80%) PM women and 1 (3%) male in Group B. The groups seemed to be similar in terms of race (white 70% vs 72%), baseline body mass index (28.2 vs 27.6), baseline systolic blood pressure (132.0 vs 135.5) and diastolic blood pressure (79.0 vs 77.5). Similarly, the groups seemed to be similar in baseline hypertension (68% vs 62%); diabetes (23% vs 24%); Hemoglobin A1c (7.2% vs 6.4%) or family history of CV disease (56% vs 55%), Group A versus Group B, respectively. There were slightly more current/past smokers in Group B than Group A (48% vs 35%) and more pts in Group A with a history of hyperlipidemia relative to Group B (52% vs 31%). Conclusions: In this retrospective descriptive cohort study there seemed to be no differences in demographics or baseline CV risk factors between the ET and ET + CDK 4/6 inhibitor cohorts with the exception of more baseline hyperlipidemia in the ET cohort. This might suggest that baseline CV risk factors did not dissuade practioners from prescribing ET + CDK 4/6 inhibitor therapy. We plan to expand our cohort to collect information on type and duration of ET and CDK 4/6 inhibitors, reason for treatment discontinuation, and CV events (eg heart failure, arrhythmias, stroke, myocardial infarction), to better understand the impact that cardiovascular risk factors have on outcomes in breast cancer patients taking ET+ CDk 4/6 inhibitor. Table 1: Demographics and CV risk factors in ABC patients treated with ET or ET + CDK4/6 inhibitor
Median (IQR) unless otherwise indicatedGroup A ET (n=57)Group B ET+ CDK 4/6 inhibitor (n=46)Age median (range)62.0 (27-84)63.5 (30-82)Menopausal status, n (%) Post menopausal Premenopausal + OS Male53 (93) 4 (7) 037 (80) 8 (17) 1 (3)Race, n (%) White Other40 (70) 17 (30)33 (72) 13 (28)Type of Insurance, n (%) Private Medicare Medicare and Private Medicaid Medicaid and Medicare Vererans Sponsored Self-Pay Unknown19 (33) 14 (25) 16 (28) 1 (2) 4 (7) 0 3 (5) 019 (41) 4 (9) 15 (33) 1 (2) 4 (9) 1 (2) 0 2 (4)BMI (kg/m2)28.2 (24.9, 30.6)27.6 (24.4, 34.5)Baseline BP (mmHg) Systolic Diastolic132.0 (118.0, 145.0) 79.0 (73.0, 84.0)135.5 (124.0, 149.0) 77.5 (72.0, 84.0)HgbA1c (%)7.2 (6.4, 7.4)6.4 (5.4, 6.4)CVRF, n (%) Hypertension Diabetes FH CVD Current/past smokers Hyperlipidemia36 (68) 13 (23) 28 (56) 20 (35) 29 (52)28 (62) 11 (24) 22 (55) 22 (48) 14 (31)OS = ovarian suppression; BMI = body mass index; BP = blood pressure; HgbA1c = hemoglobin A1c; CVRF = cardiovascular risk factors; FH = family history; CVD = cardiovascular disease; IQR = Interquartile range
Citation Format: Susan Dent, Gloria Broadwater, Terry Hyslop, Kevin Oeffinger, Michel Khouri, Sanjeev Balu, Gretchen Kimmick. Cardiovascular (CV) risk profile in patients with estrogen receptor (ER) positive HER2 negative advanced breast cancer (ABC): A retrospective cohort study (CAREB) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS10-48.
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Affiliation(s)
- Susan Dent
- 1Duke Cancer Institute, Duke University, Durham, NC
| | | | - Terry Hyslop
- 1Duke Cancer Institute, Duke University, Durham, NC
| | | | | | - Sanjeev Balu
- 2Novartis Pharmaceuticals Corporation, East Hanover, NJ
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Lynch T, Partridge A, Thompson A, Frank E, Pinto D, Collyar D, Basila D, Davies L, Donovan J, Hyslop T, McCall L, Ryser M, O' Donnell T, Weiss A, Hwang S. Abstract OT-08-02: Comparing an operation to monitoring, with or without endocrine therapy (COMET): A prospective randomized trial for low-risk DCIS (AFT-25). Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-ot-08-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Approximately 50,000 women in the U.S. are diagnosed with ductal carcinoma in situ (DCIS) annually. Without treatment, it is estimated that 20-30% of DCIS will lead to invasive breast cancer. Currently, more than 97% of women undergo surgery, with many also undergoing radiation. An alternative to surgery for low-risk DCIS is active monitoring (AM), an approach in which regularly scheduled mammography and physical exams are used to monitor breast changes and determine if, or when, surgery is needed. Trial design: COMET, a multicenter phase III prospective randomized trial, opened in the U.S. in June 2017 (clinicaltrials.gov reference: NCT02926911). The hypothesis is that management of low-risk DCIS using an AM approach does not yield inferior invasive breast cancer and/or quality of life outcomes compared to surgery. Eligibility criteria: Patients with a new diagnosis of unilateral, bilateral, unifocal, multifocal, or multicentric DCIS, or atypia verging on DCIS are eligible. Patients must be ≥40 years of age, have no contraindication for surgery, and pathologic confirmation of grade I/II DCIS. DCIS must be ER and/or PR≥ 10% and HER2-negative without invasion, diagnosed within 120 days of registration. Breast tissue, blood and imaging are collected at trial entry and if invasive cancer subsequently occurs, and are stored in central repositories. Specific aims: The primary aim is to assess whether the 2-yr ipsilateral invasive breast cancer rate for AM is non-inferior to surgery. Secondary aims include comparison of 2-, 5-, and 10-yr mastectomy rate, contralateral invasive breast cancer rate, overall survival and invasive breast cancer-specific survival, as well as 5- and 10-yr ipsilateral invasive breast cancer rate between groups. Patient reported outcomes (PRO) using validated tools are critical secondary endpoints, and will enable comparison of health-related quality of life and psychosocial outcomes between surgery and AM groups at prespecified time points over a period of 5 years. Statistical methods: An accrual goal of 1200 was estimated using a 2-group test of noninferiority of proportions, with the 2-yr invasive breast cancer rate in the surgery group assumed to be 0.10, including accounting for upstaging. The projected drop-out rate is 25%, for a total of 900 patients treated per allocation arm. The non-inferiority boundary was set at 0.05. Based on a 1-sided un-pooled z-test, with alpha=0.05, a sample size of n=446 per group will have 80% power to detect the specified noninferiority margin. Intention-to-treat analysis of the 2-yr invasive breast cancer rate will be conducted using all patients as randomized, and will be completed using Kaplan-Meier estimates, stratified by group, combined with Greenwood’s confidence interval. Several sensitivity analyses (per protocol, as-treated, and instrumental variable) are also planned to account for loss of follow-up, rejection of randomization allocation and withdrawals. Present and target accrual: Trial accrual as of 7/1/20 is 540 randomized patients from 84 activated Alliance for Clinical Trials in Oncology sites. Despite logistical challenges posed by the COVID-19 crisis, patients continue to be recruited to the COMET trial. Over 80% of patients have sample sets/images stored in the tissue and image repositories. This trial will provide definitive clinical, quality of life and biomarker evidence regarding the trade-offs of surgery vs AM in patients with low-risk DCIS. Support: CER-1503-29572; https://acknowledgments.alliancefound.org Contact: Thomas Lynch (Project Manager) - thomas.lynch2@duke.edu
Citation Format: Thomas Lynch, Ann Partridge, Alastair Thompson, Elizabeth Frank, Donna Pinto, Deborah Collyar, Desiree Basila, Louise Davies, Jenny Donovan, Terry Hyslop, Linda McCall, Marc Ryser, Taylor O' Donnell, Anna Weiss, Shelley Hwang. Comparing an operation to monitoring, with or without endocrine therapy (COMET): A prospective randomized trial for low-risk DCIS (AFT-25) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr OT-08-02.
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Affiliation(s)
| | | | | | | | - Donna Pinto
- 5COMET Study Patient Leadership Team, San Diego, CA
| | | | | | | | | | | | | | | | | | - Anna Weiss
- 10Alliance Foundation Trials, Boston, MA
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Ryser MD, Rushing CN, Thomas SM, Lynch T, McCarthy A, Mohammed ZA, Francescatti AB, Frank ES, Partridge AH, Thompson AM, Hyslop T, Hwang ES. Abstract PD5-03: Ipsilateral invasive cancer risk after diagnosis with ductal carcinoma in situ in patients with and without index surgery: The effects of endocrine therapy and radiation treatment. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd5-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background. Ongoing clinical trials are evaluating active surveillance as a potential alternative to immediate surgery in patients diagnosed with low-risk ductal carcinoma in situ (DCIS). Among women undergoing lumpectomy, the risk of ipsilateral invasive breast cancer (iIBC) after a diagnosis of DCIS can be reduced with adjuvant therapy, including endocrine therapy (ET) and radiation treatment (RT). Here we characterize the effects of ET and RT on iIBC risk after diagnosis with DCIS in a national cohort, in patients who received breast conserving surgery (BCS) within 6 months of diagnosis (BCS group) compared to patients who did not receive any locoregional treatment within 6 months of diagnosis (surveillance [SV] group). Methods. A treatment-stratified random sample of patients diagnosed with biopsy-confirmed DCIS in 2008-14 was selected from 1,330 Commission on Cancer-accredited facilities (20/site). Patients who received a mastectomy within 6 months of diagnosis were excluded. Subsequent breast events were abstracted up to 10 years after diagnosis. Primary outcomes were the population-averaged 8-year absolute risks of iIBC for the following five treatment modalities: BCS alone, SV alone, BCS + ET, SV+ET, BCS+RT, and BCS+ET+RT (where ET was defined as ≥5 years of continuous treatment). Secondary outcomes were the average treatment effects (ATE) of SV+ET vs SV, BCS+RT vs SV+ET, and BCS+RT+ET vs SV+ET. A propensity score (PS) model for treatment choice BCS vs SV was fitted with sampling design (SD) weighting and random effects for patients within facilities. Relative treatment effects (hazard ratios [HR]) for the five treatment groups were obtained using multivariable Cox proportional hazards models adjusted for tumor and patient characteristics. The models were weighted by SD and PS and included a robust sandwich covariance estimator to account for clustering of patients within facilities. Population-averaged risks and ATEs were derived from the marginal outcome probabilities: assuming that the entire population received the treatment of interest, each patient’s counterfactual probability of an iIBC event by 8 years was predicted, and then averaged across the weighted population. 95% confidence intervals (CI) were obtained by bootstrapping. Results. The final analytic cohort contained 14,245 (88.2%) BCS and 1,914 (11.8%) SV patients. Overall, median age at diagnosis was 61 years (IQR: 52-69) and median follow-up was 5.8 years (95% CI 5.7-6.1). The majority of patients were Caucasian (81.9%), with hormone receptor-positive (79.9%), and nuclear grade I/II (54.5%) DCIS. Uptake of any ET was 48.5% and 23.7% in BCS and SV patients, respectively. The relative treatment effects (HR) for the receipt of BCS, RT and ≥5 years of ET were 1.65 (95% CI: 1.14-2.39), 0.40 (95% CI: 0.27-0.61) and 0.55 (95% CI: 0.17-1.72) respectively. The 8-year population-averaged iIBC risks and corresponding ATEs are shown Table 1. Conclusion. The 8-year risk of iIBC was below 7% for all six management options. Relative and absolute treatment effects of ET and RT were comparable to previously reported estimates. In SV patients, receipt of ≥5 years of ET nearly halved the 8-year risk, indicating a substantial risk reduction potential for ET in patients who do not receive immediate surgery after diagnosis.
Table 1: Population-averaged 8-year iIBC risk and ATEs.TreatmentiIBC risk (%)95% CISurveillance6.906.79-7.01Surveillance + ET3.903.83-3.96BCS4.264.21-4.31BCS + RT1.761.73-1.79BCS + ET2.392.35-2.43BCS + ET + RT0.980.96-0.99Treatment comparisonATE (%)95% CISV+ET vs SV3.02.95-3.04BCS+RT vs SV+ET2.142.11-2.17BCS+RT+ET vs SV+ET2.922.78-2.97
Citation Format: Marc D Ryser, Christel N Rushing, Samantha M Thomas, Thomas Lynch, Anne McCarthy, Zahed A Mohammed, Amanda B Francescatti, Elizabeth S Frank, Anne H Partridge, Alastair M Thompson, Terry Hyslop, E. Shelley Hwang. Ipsilateral invasive cancer risk after diagnosis with ductal carcinoma in situ in patients with and without index surgery: The effects of endocrine therapy and radiation treatment [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD5-03.
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Affiliation(s)
| | | | | | | | - Anne McCarthy
- 2Cancer Programs, American College of Surgeons, Chicago, IL
| | | | | | | | - Anne H Partridge
- 4Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
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Shepherd JH, Hyslop T, Fan C, Martinez AF, Parker J, Hoadley K, Hu Z, Li Y, Soloway M, Spears P, Partridge A, Sikov W, Carey LA, Perou CM. Abstract PD9-03: Genomic analysis of the CALGB 40603 (Alliance) neoadjuvant trial in TNBC identifies immune features associated with pathological complete response and event-free survival. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd9-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Purpose: CALGB (now part of the Alliance for Clinical Trials in Oncology) 40603 was a randomized Phase II study investigating pathological complete response rates (pCR) in triple-negative breast cancer (TNBC) patients receiving neoadjuvant weekly paclitaxel followed by doxorubicin and cyclophosphamide +/- bevacizumab and/or carboplatin for which 5-year event-free survival (EFS) results are now available. This is a valuable resource to characterize clinical and genomic features associated with response and survival. Methods: Clinical parameters and pre-treatment tumor biopsy RNA-sequencing (RNAseq) from 295 TNBC patients were analyzed to identify features associated with pCR and/or EFS. A panel of 689 previously published gene expression signatures were evaluated to provide insights regarding potential associations between clinical endpoints and genomically determined cell types and signaling pathway activities. Additionally, B cell receptor (BCR) and T cell receptor (TCR) sequences were examined, and repertoire abundance, richness, and diversity measures were calculated to investigate correlations with pCR and EFS status. Univariate Mann-Whitney U-Tests were used for continuous variables, and Fisher’s test was used for categorical features, with unadjusted p-values < 0.05 designated as significant. Results: While the addition of bevacizumab and carboplatin each significantly improved pCR rates, neither improved EFS. We examined outcomes according to race and no differences were seen for either pCR rate or EFS. 131 features, including high proliferation and multiple interferon signatures were significantly associated with pCR, but not with EFS. Alternatively, 69 features, including clinical factors for T stage and node status, were prognostic for EFS, but not significantly associated with pCR. Nevertheless, pCR itself was the strongest predictor of EFS, and was the only feature significantly associated with EFS after adjusting for multiple comparisons (Benjamini-Hochberg False Discovery Rate = 6.7e-3). In total, 52 genomic features were significantly correlated with both pCR and EFS, 44 of which were features of the immune microenvironment. Immune associated features included signatures of T cells, B cells and NK cells, immune checkpoint pathways (PD-1, PD-L1, CTLA4), and antigen presentation (dendritic cells, MHC-I, MHC-II). In particular, low BCR evenness, which is a measure of uniformity of unique BCR sequence abundance, was strongly associated with both pCR and EFS, suggesting that an antigen-specific adaptive immune response with clonally selected B cells is occurring in patients that have improved response and survival. Furthermore, a multivariate Cox Proportional Hazards model assessing BCR evenness along with age, T stage, N stage, grade and pCR found BCR evenness to be an independent prognostic feature for EFS in TNBC. Conclusions: Evidence of distinct predictors of pCR and EFS in TNBC patients treated with neoadjuvant chemotherapy suggests that, while pCR is still the strongest prognostic feature, high expression of many immune related gene expression signatures in pretreatment tumor samples are promising biomarkers of improved EFS. In addition to the important role of T cells in an anti-tumor response, these data show high IgG expression and evidence of B cell clonal selection associates with improved response and survival, supporting an important role for B cells in the adaptive response that portends a long-term benefit of chemotherapy in TNBC. Support: U10CA180821, U10CA180882, U24CA196171, P50-CA58223, Genentech, and The Breast Cancer Research Foundation. https://acknowledgments.alliancefound.org; ClinicalTrials.gov Identifier: NCT00861705
Citation Format: Jonathan H Shepherd, Terry Hyslop, Cheng Fan, Aranzazu Fernandez Martinez, Joel Parker, Katherine Hoadley, Zhiyuan Hu, Yun Li, Matthew Soloway, Patricia Spears, Ann Partridge, William Sikov, Lisa A Carey, Charles M Perou. Genomic analysis of the CALGB 40603 (Alliance) neoadjuvant trial in TNBC identifies immune features associated with pathological complete response and event-free survival [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD9-03.
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Affiliation(s)
| | | | - Cheng Fan
- 1University of North Carolina, Chapel Hill, NC
| | | | - Joel Parker
- 1University of North Carolina, Chapel Hill, NC
| | | | - Zhiyuan Hu
- 1University of North Carolina, Chapel Hill, NC
| | - Yun Li
- 1University of North Carolina, Chapel Hill, NC
| | | | | | | | - William Sikov
- 4Warren Alpert Medical School of Brown University, Providence, RI
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Oshima SM, Tait SD, Rushing C, Lane W, Hyslop T, Offodile AC, Wheeler SB, Zafar SY, Greenup R, Fish LJ. Patient Perspectives on the Financial Costs and Burdens of Breast Cancer Surgery. JCO Oncol Pract 2021; 17:e872-e881. [PMID: 33566677 DOI: 10.1200/op.20.00780] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Although financial toxicity is a well-documented aspect of cancer care, little is known about how patients narratively characterize financial experiences related to breast cancer treatment. We sought to examine these patient experiences through mixed methods analysis. METHODS Women (≥ 18 years old) with a history of breast cancer were recruited from the Love Research Army and Sisters Network to complete an 88-item electronic survey including an open-ended response. Quantitative data were used to sort and stratify responses to the open-ended question, which comprised the qualitative data evaluated here. Descriptive statistics and qualitative content analysis were used to evaluate the financial costs and other burdens resulting from breast cancer surgery. RESULTS In total, 511 respondents completed the survey in its entirety and wrote an open-ended response. Participants reported significant financial burden in different categories including direct payments for medical care and indirect costs such as lost wages and travel expenses. Treatment-related costs burdened participants for years after diagnosis, forming a financial arc for many participants. Discrepancies existed between the degree of financial burden reported on multiple-choice questions and participants' corresponding open-ended descriptions of financial burden. Participants described a lack of communication surrounding costs with their providers and difficulty negotiating payments with insurance. CONCLUSION Breast cancer care can result in ongoing financial burden years after diagnosis among all patients, even those with adequate insurance patient populations.
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Affiliation(s)
| | | | - Christel Rushing
- Biostatistics Shared Resource, Duke Cancer Institute, Duke University, Durham, NC
| | - Whitney Lane
- Department of Surgery, Duke University School of Medicine, Durham, NC
| | - Terry Hyslop
- Biostatistics Shared Resource, Duke Cancer Institute, Duke University, Durham, NC
| | - Anaeze C Offodile
- Department of Plastic Surgery, MD Anderson Cancer Center, Houston, TX
| | - Stephanie B Wheeler
- Department of Health Policy and Management, UNC Gillings School of Global and Public Health, Chapel Hill, NC
| | - S Yousuf Zafar
- Duke University School of Medicine, Durham, NC.,Department of Population Health Sciences, Duke University, Durham, NC.,Department of Medicine, Duke University, Durham, NC.,Duke Cancer Institute, Durham, NC
| | - Rachel Greenup
- Department of Surgery, Duke University School of Medicine, Durham, NC.,Duke Cancer Institute, Durham, NC
| | - Laura J Fish
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, NC.,Behavioral Health and Survey Research Core, Duke Cancer Institute, Duke University, Durham, NC
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Deveaux AE, Allen TA, Al Abo M, Qin X, Zhang D, Patierno BM, Gu L, Gray JE, Pecot CV, Dressman HK, McCall SJ, Kittles RA, Hyslop T, Owzar K, Crawford J, Patierno SR, Clarke JM, Freedman JA. RNA splicing and aggregate gene expression differences in lung squamous cell carcinoma between patients of West African and European ancestry. Lung Cancer 2021; 153:90-98. [PMID: 33465699 DOI: 10.1016/j.lungcan.2021.01.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/06/2021] [Accepted: 01/08/2021] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Despite disparities in lung cancer incidence and mortality, the molecular landscape of lung cancer in patients of African ancestry remains underexplored, and race-related differences in RNA splicing remain unexplored. MATERIALS AND METHODS We identified differentially spliced genes (DSGs) and differentially expressed genes (DEGs) in biobanked lung squamous cell carcinoma (LUSC) between patients of West African and European ancestry, using ancestral genotyping and Affymetrix Clariom D array. DSGs and DEGs were validated independently using the National Cancer Institute Genomic Data Commons. Associated biological processes, overlapping canonical pathways, enriched gene sets, and cancer relevance were identified using Gene Ontology Consortium, Ingenuity Pathway Analysis, Gene Set Enrichment Analysis, and CancerMine, respectively. Association with LUSC survival was conducted using The Cancer Genome Atlas. RESULTS 4,829 DSGs and 267 DEGs were identified, including novel targets in NSCLC as well as genes identified previously to have relevance to NSCLC. RNA splicing events within 3 DSGs as well as 1 DEG were validated in the independent cohort. 853 DSGs and 29 DEGs have been implicated as potential drivers, oncogenes and/or tumor suppressor genes. Biological processes enriched among DSGs and DEGs included metabolic process, biological regulation, and multicellular organismal process and, among DSGs, ion transport. Overlapping canonical pathways among DSGs included neuronal signaling pathways and, among DEGs, cell metabolism involving biosynthesis. Gene sets enriched among DSGs included KRAS Signaling, UV Response, E2 F Targets, Glycolysis, and Coagulation. 355 RNA splicing events within DSGs and 18 DEGs show potential association with LUSC patient survival. CONCLUSION These DSGs and DEGs, which show potential biological and clinical relevance, could have the ability to drive novel biomarker and therapeutic development to mitigate LUSC disparities.
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Affiliation(s)
- April E Deveaux
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Tyler A Allen
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Muthana Al Abo
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Xiaodi Qin
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Dadong Zhang
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Brendon M Patierno
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Lin Gu
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Jhanelle E Gray
- Department of Thoracic Oncology, Moffitt Cancer Center, Tampa, FL, 33612, USA
| | - Chad V Pecot
- Department of Medicine, Division of Hematology/Oncology, University of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, 27599, USA
| | - Holly K Dressman
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Shannon J McCall
- Department of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Rick A Kittles
- Department of Population Sciences, Division of Health Equities, City of Hope National Medical Center, Duarte, CA, 91010, USA
| | - Terry Hyslop
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Kouros Owzar
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Jeffrey Crawford
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Steven R Patierno
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Jeffrey M Clarke
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Jennifer A Freedman
- Department of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
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