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Qian Y, Asad S, Park EM, Mills JA, Kent EE. Rural resilience during COVID-19: the lived experience of North Carolinian rural-dwelling cancer caregivers. Support Care Cancer 2023; 31:396. [PMID: 37318622 DOI: 10.1007/s00520-023-07840-1] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 05/24/2023] [Indexed: 06/16/2023]
Abstract
PURPOSE To illuminate the lived experience of resilience in rural-dwelling North Carolinian cancer caregivers at the intersection of cancer and the COVID-19 pandemic. METHODS In spring, 2020, we recruited self-identified primary caregivers (CGs) for a relative/friend with cancer living in a rural area. We conducted cross-sectional semi-structured interviews and then thematically analyzed transcripts to identify and categorize instances of stressors and benefit-finding. RESULTS Of the 24 participants, 29% were < 50 years old, 42% identified as non-Hispanic Black, 75% were women, and 58% were spousal CGs. Most care recipients (CRs) had stage IV cancer (n = 20) and cancer types varied. Participants played a variety of roles in caregiving and experienced stressors related to caregiving demands (e.g., conflicts with other responsibilities), rurality (e.g., transportation), and the COVID-19 pandemic (e.g., new visitor policy at hospital). Despite stressful experiences, participants also identified many positive aspects of their caregiving. Five domains of benefit-finding were identified: appreciation (e.g., gratitude toward their ability to care for CRs), CG-CR dyad relationship dynamics (e.g., increased closeness), interpersonal relationship dynamics (e.g., perceived peer support), faith (e.g., ability to cope through praying), and personal growth (e.g., new skills learned from caregiving). CONCLUSION Rural-dwelling cancer caregivers from mixed sociodemographic backgrounds identified a diverse range of benefits from caregiving, despite experiencing multiple stressors, including emergent stressors from the COVID-19 pandemic. Healthcare delivery serving rural communities may consider expanding transportation assistance and boosting benefit-finding to ameliorate stress in cancer caregivers.
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Affiliation(s)
- Yiqing Qian
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah Asad
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1102-B McGavran-Greenberg Hall, CB # 7411, Chapel Hill, NC, 27599-7411, USA
| | - Eliza M Park
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jiona A Mills
- Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Erin E Kent
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 1102-B McGavran-Greenberg Hall, CB # 7411, Chapel Hill, NC, 27599-7411, USA.
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
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Abraham A, Barcenas CH, Bleicher RJ, Cohen AL, Javid SH, Levine EG, Lin NU, Moy B, Niland JC, Wolff AC, Hassett MJ, Asad S, Stover DG. Clinicopathologic and sociodemographic factors associated with late relapse triple negative breast cancer in a multivariable logistic model: A multi-institution cohort study. Breast 2023; 67:89-93. [PMID: 36681001 PMCID: PMC9982264 DOI: 10.1016/j.breast.2023.01.004] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/06/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Most metastatic recurrences of triple negative breast cancer (TNBC) occur within five years of diagnosis, yet late relapses of TNBC (lrTNBC) do occur. Our objective was to develop a risk prediction model of lrTNBC using readily available clinicopathologic and sociodemographic features. METHODS We included patients diagnosed with stage I-III TNBC between 1998 and 2012 at ten academic cancer centers. lrTNBC was defined as relapse or mortality greater than 5 years from diagnosis. Features associated with lrTNBC were included in a multivariable logistic model using backward elimination with a p < 0.10 criterion, with a final multivariable model applied to training (70%) and independent validation (30%) cohorts. RESULTS A total 2210 TNBC patients with at least five years follow-up and no relapse before 5 years were included. In final multivariable model, lrTNBC was significantly associated with higher stage at diagnosis (adjusted Odds Ratio [aOR] for stage III vs I, 10.9; 95% Confidence Interval [CI], 7.5-15.9; p < 0.0001) and BMI (aOR for obese vs normal weight, 1.4; 95% CI, 1.0-1.8; p = 0.03). Final model performance was consistent between training (70%) and validation (30%) cohorts. CONCLUSIONS A risk prediction model incorporating stage, BMI, and age at diagnosis offers potential utility for identification of patients at risk of development of lrTNBC and warrants further investigation.
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Affiliation(s)
- Adith Abraham
- Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | | | | | | | | | | | - Beverly Moy
- Massachusetts General Hospital, Boston, MA, USA
| | | | | | | | - Sarah Asad
- Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Daniel G. Stover
- Ohio State University Wexner Medical Center, Columbus, OH, USA,Corresponding author. Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984 Columbus, OH, 43210, USA.
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3
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Asad S, Damicis A, Heng YJ, Kananen K, Collier KA, Adams EJ, Kensler KH, Baker GM, Wesolowski R, Sardesai S, Gatti-Mays M, Ramaswamy B, Eliassen AH, Hankinson SE, Tabung FK, Tamimi RM, Stover DG. Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses' health study. Breast Cancer Res 2022; 24:78. [PMID: 36376974 PMCID: PMC9661734 DOI: 10.1186/s13058-022-01573-5] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Breast tumor immune infiltration is clearly associated with improved treatment response and outcomes in breast cancer. However, modifiable patient factors associated with breast cancer immune infiltrates are poorly understood. The Nurses' Health Study (NHS) offers a unique cohort to study immune gene expression in tumor and adjacent normal breast tissue, immune cell-specific immunohistochemistry (IHC), and patient exposures. We evaluated the association of body mass index (BMI) change since age 18, physical activity, and the empirical dietary inflammatory pattern (EDIP) score, all implicated in systemic inflammation, with immune cell-specific expression scores. METHODS This population-based, prospective observational study evaluated 882 NHS and NHSII participants diagnosed with invasive breast cancer with detailed exposure and gene expression data. Of these, 262 women (training cohort) had breast tumor IHC for four classic immune cell markers (CD8, CD4, CD20, and CD163). Four immune cell-specific scores were derived via lasso regression using 105 published immune expression signatures' association with IHC. In the remaining 620 patient evaluation cohort, we evaluated association of each immune cell-specific score as outcomes, with BMI change since age 18, physical activity, and EDIP score as predictors, using multivariable-adjusted linear regression. RESULTS Among women with paired expression/IHC data from breast tumor tissue, we identified robust correlation between novel immune cell-specific expression scores and IHC. BMI change since age 18 was positively associated with CD4+ (β = 0.16; p = 0.009), and CD163 novel immune scores (β = 0.14; p = 0.04) in multivariable analyses. In other words, for each 10 unit (kg/m2) increase in BMI, the percentage of cells positive for CD4 and CD163 increased 1.6% and 1.4%, respectively. Neither physical activity nor EDIP was significantly associated with any immune cell-specific expression score in multivariable analyses. CONCLUSIONS BMI change since age 18 was positively associated with novel CD4+ and CD163+ cell scores in breast cancer, supporting further study of the effect of modifiable factors like weight gain on the immune microenvironment.
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Affiliation(s)
- Sarah Asad
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Adrienne Damicis
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Yujing J Heng
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Kathryn Kananen
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Katharine A Collier
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Elizabeth J Adams
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
- Northwestern Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Kevin H Kensler
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Gabrielle M Baker
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Robert Wesolowski
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Sagar Sardesai
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Margaret Gatti-Mays
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - Bhuvaneswari Ramaswamy
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Susan E Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Biostatistics and Epidemiology, University of Massachusetts School of Public Health and Health Sciences, Amherst, MA, 01003, USA
| | - Fred K Tabung
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA
- Division of Epidemiology, College of Public Health, Ohio State University, Columbus, OH, 43210, USA
- Ohio State University College of Medicine, Columbus, OH, 43210, USA
| | - Rulla M Tamimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Daniel G Stover
- Division of Medical Oncology, Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 984, Columbus, OH, 43210, USA.
- Department of Biomedical Informatics, Ohio State University, Columbus, OH, 43210, USA.
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Kent EE, Lee S, Asad S, Dobbins EE, Aimone EV, Park EM. "If I wasn't in a rural area, I would definitely have more support": social needs identified by rural cancer caregivers and hospital staff. J Psychosoc Oncol 2022; 41:393-410. [PMID: 36214743 PMCID: PMC10083183 DOI: 10.1080/07347332.2022.2129547] [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] [Indexed: 12/14/2022]
Abstract
BACKGROUND The social needs of rural families facing cancer warrant investigation to inform psychosocial care planning and policy development. METHODS Using purposive sampling, we interviewed 24 rural caregivers and 17 hospital staff from an academic cancer center in the U.S. South. Social needs were defined as the support needed to effectively provide informal caregiving across economic, physical, interpersonal, and service domains. We used the framework method to code and synthesize findings. FINDINGS Caregiver economic and physical needs were interconnected and most pressing, including common examples of distance to care and transportation barriers. Caregivers desired additional support from the health system, insurance providers, and community resources. Staff identified similar need patterns and gaps in health system capacity. CONCLUSIONS Rural cancer caregivers experience multiple unmet social needs. Supportive interventions for this population will benefit from flexible implementation and multilevel, multisector approaches. In particular, interventions that address financial hardship and limited internet access are needed.
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Affiliation(s)
- Erin E Kent
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sejin Lee
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Sarah Asad
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Erin E Dobbins
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Elizabeth V Aimone
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Eliza M Park
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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5
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Haines E, Asad S, Lux L, Gan H, Noskoff K, Kumar B, Roggenkamp B, Salsman JM, Birken S. Guidance to Support the Implementation of Specialized Adolescent and Young Adult Cancer Care: A Qualitative Analysis of Cancer Programs. JCO Oncol Pract 2022; 18:e1513-e1521. [PMID: 35749679 PMCID: PMC9509058 DOI: 10.1200/op.22.00063] [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: 01/21/2022] [Revised: 04/06/2022] [Accepted: 05/20/2022] [Indexed: 11/20/2022] Open
Abstract
PURPOSE The nearly 90,000 adolescents and young adults (AYAs) diagnosed with cancer in the United States yearly have tended to occupy a no-man's land between medical and pediatric oncology, often reporting that existing models of care are misaligned with their needs and preferences. Although guidelines for optimal AYA cancer care are increasingly available, the implementation of such standards has been varied. This may be in part due to a lack of guidance for implementing specialized AYA care. In this study, we leveraged an implementation science framework to identify barriers and generate practical guidance to inform the implementation of specialized AYA cancer care. METHODS We conducted semistructured qualitative interviews, guided by the Consolidated Framework for Implementation Research, with AYA care stakeholders (N = 32 from 14 cancer programs). Our multidisciplinary research team analyzed interview transcriptions using a template analysis approach and gleaned from interviews practical guidance for implementing specialized AYA care. RESULTS Participants reported barriers to implementing specialized AYA care across all five Consolidated Framework for Implementation Research domains: (1) intervention characteristics (eg, costs), (2) inner setting (eg, difficulties in collaborating between pediatric and medical oncology), (3) outer setting (eg, patient-level barriers to participating in AYA services), (4) individual characteristics (eg, attitudes about AYA oncology), and (5) process (eg, lack of metrics for program evaluation). They also shared practical guidance for addressing these barriers. CONCLUSION Emerging guidance on the core elements of AYA cancer care must be matched with guidance to support the implementation of specialized AYA care. This study contributes to the body of evidence available to inform future implementation efforts.
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Affiliation(s)
- Emily Haines
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sarah Asad
- Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Lauren Lux
- Comprehensive Cancer Support Program, Lineberger Comprehensive Cancer Center, Chapel Hill, NC
- Department of Psychiatry, University of North Carolina Chapel Hill, Chapel Hill, NC
| | | | | | | | | | - John M. Salsman
- Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, NC
| | - Sarah Birken
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC
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6
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Thompson KJ, Leon-Ferre RA, Sinnwell JP, Zahrieh D, Suman V, Metzger F, Asad S, Stover D, Carey L, Sikov W, Ingle J, Liu M, Carter J, Klee E, Weinshilboum R, Boughey J, Wang L, Couch F, Goetz M, Kalari K. Luminal androgen receptor breast cancer subtype and investigation of the microenvironment and neoadjuvant chemotherapy response. NAR Cancer 2022; 4:zcac018. [PMID: 35734391 PMCID: PMC9204893 DOI: 10.1093/narcan/zcac018] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/28/2022] [Accepted: 06/13/2022] [Indexed: 12/31/2022] Open
Abstract
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype with low overall survival rates and high molecular heterogeneity; therefore, few targeted therapies are available. The luminal androgen receptor (LAR) is the most consistently identified TNBC subtype, but the clinical utility has yet to be established. Here, we constructed a novel genomic classifier, LAR-Sig, that distinguishes the LAR subtype from other TNBC subtypes and provide evidence that it is a clinically distinct disease. A meta-analysis of seven TNBC datasets (n = 1086 samples) from neoadjuvant clinical trials demonstrated that LAR patients have significantly reduced response (pCR) rates than non-LAR TNBC patients (odds ratio = 2.11, 95% CI: 1.33, 2.89). Moreover, deconvolution of the tumor microenvironment confirmed an enrichment of luminal epithelium corresponding with a decrease in basal and myoepithelium in LAR TNBC tumors. Increased immunosuppression in LAR patients may lead to a decreased presence of cycling T-cells and plasma cells. While, an increased presence of myofibroblast-like cancer-associated cells may impede drug delivery and treatment. In summary, the lower levels of tumor infiltrating lymphocytes (TILs), reduced immune activity in the micro-environment, and lower pCR rates after NAC, suggest that new therapeutic strategies for the LAR TNBC subtype need to be developed.
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Affiliation(s)
- Kevin J Thompson
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
| | | | - Jason P Sinnwell
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
| | - David M Zahrieh
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
| | - Vera J Suman
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
| | | | - Sarah Asad
- The Ohio State University Wexner Medical Center, Molecular, Cellular, and Developmental Biology, Columbus, OH, USA
| | - Daniel G Stover
- The Ohio State University Wexner Medical Center, Molecular, Cellular, and Developmental Biology, Columbus, OH, USA
| | - Lisa Carey
- University of North Carolina at Chapel Hill School of Medicine, Medical Science, Chapel Hill, NC, USA
| | - William M Sikov
- Warren Alpert Medical School of Brown University, Department of Medicine Women, Providence, RI, USA
- Infants Hospital of Rhode Island, Department of Obstetrics & Gynecology, Providence, RI, USA
| | - James N Ingle
- Mayo Clinic, Department of Oncology, Rochester, MN, USA
| | - Minetta C Liu
- Mayo Clinic, Department of Oncology, Rochester, MN, USA
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Jodi M Carter
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Eric W Klee
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Richard M Weinshilboum
- Mayo Clinic, Department of Molecular Pharmacology and Experimental Therapeutics, Rochester, MN, USA
| | | | - Liewei Wang
- Mayo Clinic, Department of Molecular Pharmacology and Experimental Therapeutics, Rochester, MN, USA
| | - Fergus J Couch
- Mayo Clinic, Department of Laboratory Medicine and Pathology, Rochester, MN, USA
| | - Matthew P Goetz
- Mayo Clinic, Department of Oncology, Rochester, MN, USA
- Mayo Clinic, Department of Molecular Pharmacology and Experimental Therapeutics, Rochester, MN, USA
| | - Krishna R Kalari
- Mayo Clinic, Department of Quantitative Health Sciences, Rochester, MN, USA
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7
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Abraham AS, Barcenas CH, Bleicher RJ, Cohen AL, Javid SH, Levine EG, Lin NU, Moy B, Niland J, Wolff AC, Hassett MJ, Stover DG, Asad S. CLO22-033: Clinicopathologic and Sociodemographic Factors Associated With Late Relapse Triple Negative Breast Cancer. J Natl Compr Canc Netw 2022. [DOI: 10.6004/jnccn.2021.7177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
| | | | | | | | | | | | | | - Beverly Moy
- 8 Massachusetts General Hospital, Boston, MA
| | | | | | | | | | - Sarah Asad
- 1 Ohio State University Wexner Medical Center, Columbus, OH
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8
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Hwang S, Bozkurt B, Huson T, Asad S, Richardson L, Ogbansiegbe JA, Viera L, Buse C, James TA, Mayer DK, Shulman LN, Birken SA. Identifying Strategies for Robust Survivorship Program Implementation: A Qualitative Analysis of Cancer Programs. JCO Oncol Pract 2022; 18:e304-e312. [PMID: 34606296 PMCID: PMC8932497 DOI: 10.1200/op.21.00357] [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: 12/16/2022] Open
Abstract
PURPOSE The Commission on Cancer seeks to promote robust survivorship programs among accredited cancer programs. In practice, cancer programs' survivorship programs range from cursory (eg, developing care plans without robust services) to robust (eg, facilitating follow-up care). To inform cancer programs' future efforts, in this study, we identified the implementation strategies that cancer programs used to achieve robust survivorship programs, distinguishing them from cursory programs. METHODS We sampled 39 cancer programs across the United States with approaches to survivorship program implementation ranging from cursory to robust on the basis of LIVESTRONG survivorship care consensus elements. Within sampled cancer programs, we conducted in-depth semistructured interviews with a total of 42 health care professionals. We used template analysis to distinguish implementation strategies used in cancer programs with robust survivorship programs from strategies that yielded cursory survivorship programs. RESULTS Cancer programs with robust survivorship programs established clear systems survivorship care and formal committees to improve the survivorship care processes. They sought buy-in from multiple stakeholders to leverage cancer program resources and defined clear roles with shared accountability among multidisciplinary groups. By contrast, cancer programs with cursory survivorship programs reported less consistency in survivorship care processes and lacked buy-in from key stakeholders. They had limited resources, faced persistent structural concerns, and had insufficient clarity in roles among team members. CONCLUSION Accrediting bodies may consider incorporating the implementation strategies that robust survivorship programs have used as guidance for supporting cancer programs in operationalizing survivorship care and evaluating the use of these strategies during the accreditation and review process.
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Affiliation(s)
- Soohyun Hwang
- Health Policy and Management, University of North Carolina Chapel Hill, Chapel Hill, NC,Soohyun Hwang, MPH, Health Policy and Management, University of North Carolina Chapel Hill, 135 Dauer Drive, Chapel Hill, NC;
| | - Burcu Bozkurt
- Health Policy and Management, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Tamara Huson
- Health Policy and Management, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Sarah Asad
- Health Policy and Management, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Lauren Richardson
- Health Policy and Management/Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - Laura Viera
- University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Caroline Buse
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Ted A. James
- Breast Center/Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Deborah K. Mayer
- University of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, NC
| | | | - Sarah A. Birken
- Wake Forest University School of Medicine, Winston-Salem, NC
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Asad S, Kananen K, Mueller KR, Symmans WF, Wen Y, Perou CM, Blachly JS, Chen J, Vincent BG, Stover DG. Challenges and Gaps in Clinical Trial Genomic Data Management. JCO Clin Cancer Inform 2022; 6:e2100193. [PMID: 35404674 PMCID: PMC9012601 DOI: 10.1200/cci.21.00193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/17/2022] [Accepted: 02/23/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Sarah Asad
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Kathryn Kananen
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Kurt R. Mueller
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Yujia Wen
- Alliance for Clinical Trials in Oncology, Chicago, IL
| | - Charles M. Perou
- Department of Genetics, and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | | | - James Chen
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Benjamin G. Vincent
- Department of Genetics, and the Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
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Collier KA, Tallman D, Weber ZT, Haynam M, Adams EJ, Jenison J, Asad S, Lustberg M, Cherian M, Ramaswamy B, Sardesai S, Williams N, Wesolowski R, Vandeusen J, Gatti-Mays ME, Pariser A, Mortazavi A, Stover DG. Abstract P3-09-09: Serial circulating tumor DNA from patients with metastatic breast cancer with and without BRCA1/2 mutations. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-p3-09-09] [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: 11/16/2022]
Abstract
Abstract
Background: Analysis of circulating tumor DNA (ctDNA) over time allows non-invasive evaluation of tumor genomic evolution. We characterize changes in tumor fraction (TFx), somatic copy number alterations (SCNAs), and somatic mutations over time in patients (pts) with and without BRCA1/2 mutations and metastatic breast cancer (mBC) who received a PARP inhibitor (PARPi) or platinum chemotherapy. Specifically, we seek to identify the frequency of BRCA1/2 reversion mutations. Methods: Pts with mBC and germline or somatic BRCA1/2 mutations were identified on a banking protocol of prospectively-collected serial samples of blood and plasma. Control pts without a BRCA1/2 mutation were matched 2:1 by age and hormone receptor (HR) status. Ultra-low-pass whole genome sequencing (ULPWGS) with 0.1x depth was performed on all plasma samples (n=103) and the ichorCNA algorithm was used to determine TFx and SCNAs. Targeted panel sequencing (TPS) of 402 cancer-related genes was performed at 10,000x depth on plasma samples, and one blood sample per pt. The panel includes BRCA1/2 and 38 other DNA damage repair (DDR) genes. Somatic mutations were identified by joint calling with Mutect2 across plasma timepoints with paired pt normal blood. Germline variant calling from TPS on blood with HaplotypeCaller was used to confirm germline mutations in BRCA1/2. Results: We identified 10 pts with mBC with a germline (n=7) or somatic (n=3) BRCA1 (n=2) or BRCA2 (n=8) mutation and banked blood and plasma samples at 2-9 timepoints at a median of 8 weeks apart (range 1-43). The control cohort of 20 pts with mBC and wildtype BRCA1/2 was well matched by age and HR status. All pts with BRCA1/2 mutations received a PARPi and/or platinum chemotherapy at some point during sample collection. Half of control pts received platinum chemotherapy. Germline BRCA1/2 mutations were confirmed in all 7 pts with known germline mutations. Somatic BRCA2 mutations were confirmed in ctDNA in 2 of 3 patients. Among all samples, median TFx was 0.05 (range 0-0.80) with 35% of samples having TFx >0.10. There was no significant difference in TFx by age, receptor status, or active treatment with a PARPi or platinum. There was no significant change in the percent of genome with a SCNA over time. A reversion mutation of a germline BRCA2 mutation, restoring the open reading frame of BRCA2, was discovered at the last timepoint from 1 pt while receiving carboplatin. She had radiographic progression 4 weeks later. A germline BRCA1/2 reversion mutation in this cohort occurred in 2.3% of samples, 14.3% of pts. The somatic mutation landscape and clonal evolution of TPS using PyClone will be presented. Clonal evolution can show emerging and responding clusters of variants. For pts with available tissue specimens, somatic variants in ctDNA will be compared to somatic mutations detected in tissue with TPS. Conclusions: Evaluation of serial ctDNA samples for TFx, SCNAs, and somatic mutations from banked plasma and blood from pts with mBC is feasible. SCNAs were stable over time. The frequency of reversion mutations in BRCA1/2 was low, suggesting that either their incidence is low or ctDNA TPS is not sensitive enough to detect them.
Citation Format: Katharine A Collier, David Tallman, Zachary T. Weber, Marcy Haynam, Elizabeth J. Adams, Janet Jenison, Sarah Asad, Maryam Lustberg, Mathew Cherian, Bhuvaneswari Ramaswamy, Sagar Sardesai, Nicole Williams, Robert Wesolowski, Jeffrey Vandeusen, Margaret E. Gatti-Mays, Ashley Pariser, Amir Mortazavi, Daniel G. Stover. Serial circulating tumor DNA from patients with metastatic breast cancer with and without BRCA1/2 mutations [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P3-09-09.
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Stover DG, Damicis A, Heng YJ, Collier KA, Adams EJ, Kensler KH, Baker GM, Wesolowski R, Sardesai S, Gatti-Mays M, Ramaswamy B, Eliassen AH, Hankinson SE, Tabung FK, Tamimi RM, Asad S. Abstract PD9-11: Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses’ health study. Cancer Res 2022. [DOI: 10.1158/1538-7445.sabcs21-pd9-11] [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: Immune infiltration is associated with better treatment response and outcomes in breast cancer, yet data regarding the role of modifiable patient factors in immune infiltration are limited. Patients and Methods: This population-based, prospective observational study evaluated 882 Nurses’ Health Study (NHS) and NHSII participants diagnosed with invasive breast cancer with detailed exposure and gene expression data. Of these, 262 women (training cohort) had breast tumor immunohistochemistry (IHC) for four canonical immune cell markers: CD8, CD4, CD20, CD163. In this training cohort, 105 published immune cell-specific gene expression signatures were calculated, then lasso regression was used to derive four immune cell-specific scores based on association with IHC. In the remaining 620 patient testing cohort, we evaluated association of each immune-cell specific score as outcomes, with body mass index (BMI) change since age 18, physical activity, and the empirical dietary inflammatory pattern (EDIP) score as predictors, using multivariable-adjusted linear regression. Results: Among women with paired expression/IHC data from breast tumor tissue, we identified robust correlation between novel immune cell-specific expression scores and IHC (Spearman’s rho range 0.42-0.54; all p<0.001). BMI change since age 18 was positively associated with CD4+ (β=0.16; SE=0.06; p=0.009), and CD163+ scores (β=0.14; SE=0.07; p=0.04) in multivariable analyses. Neither physical activity nor EDIP were significantly associated with any immune cell-specific expression score in multivariable analyses. Conclusions: BMI change since age 18 was positively associated with novel CD4+ and CD163+ cell scores in breast cancer, supporting further study of the effect of modifiable factors like weight gain on the immune microenvironment.
Citation Format: Daniel G. Stover, Adrienne Damicis, Yujing J. Heng, Katharine A. Collier, Elizabeth J. Adams, Kevin H. Kensler, Gabrielle M. Baker, Robert Wesolowski, Sagar Sardesai, Margaret Gatti-Mays, Bhuvaneswari Ramaswamy, A. Heather Eliassen, Susan E. Hankinson, Fred K. Tabung, Rulla M. Tamimi, Sarah Asad. Association of body mass index and inflammatory dietary pattern with breast cancer pathologic and genomic immunophenotype in the nurses’ health study [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 PD9-11.
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Affiliation(s)
| | | | - Yujing J. Heng
- Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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12
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Collier KA, Asad S, Tallman D, Jenison J, Rajkovic A, Mardis ER, Parsons HA, Tolaney SM, Winer EP, Lin NU, Ha G, Adalsteinsson VA, Stover DG. Association of 17q22 Amplicon Via Cell-Free DNA With Platinum Chemotherapy Response in Metastatic Triple-Negative Breast Cancer. JCO Precis Oncol 2021; 5:PO.21.00104. [PMID: 34849445 PMCID: PMC8624042 DOI: 10.1200/po.21.00104] [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: 03/08/2021] [Revised: 08/11/2021] [Accepted: 10/06/2021] [Indexed: 12/21/2022] Open
Abstract
PURPOSE To determine whether specific somatic copy-number alterations detectable in circulating tumor DNA (ctDNA) from patients with metastatic triple-negative breast cancer (mTNBC) are associated with sensitivity to platinum chemotherapy. MATERIALS AND METHODS In this secondary analysis of a large cohort of patients with mTNBC whose ctDNA underwent ultralow-pass whole-genome sequencing, tumor fraction and somatic copy-number alterations were derived with the ichorCNA algorithm. Seventy-two patients were identified who had received a platinum-based chemotherapy regimen in the metastatic setting. Gene-level copy-number analyses were performed with GISTIC2.0. Cytobands were associated with progression-free survival (PFS) to platinum chemotherapy using Cox proportional hazards models. The Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium data sets were interrogated for frequency of significant cytobands in primary triple-negative breast cancer (pTNBC) tumors. RESULTS Among 71 evaluable patients, 17q21 and 17q22 amplifications were most strongly associated with improved PFS with platinum chemotherapy. There were no significant differences in clinicopathologic features or (neo)adjuvant chemotherapy among patients with 17q22 amplification. Patients with 17q22 amplification (n = 17) had longer median PFS with platinum (7.0 v 3.8 months; log-rank P = .015) than patients without 17q22 amplification (n = 54), an effect that remained significant in multivariable analyses (PFS hazard ratio 0.37; 95% CI, 0.16 to 0.84; P = .02). Among 39 patients who received the nonplatinum chemotherapy agent capecitabine, there was no association between 17q22 amplification and capecitabine PFS (log-rank P = .69). In The Cancer Genome Atlas and Molecular Taxonomy of Breast Cancer International Consortium, 17q22 amplification occurred in more than 20% of both pTNBC and mTNBC tumors, whereas 17q21 was more frequently amplified in mTNBC relative to pTNBC (16% v 8.1%, P = .015). CONCLUSION The 17q22 amplicon, detected by ctDNA, is associated with improved PFS with platinum chemotherapy in patients with mTNBC and warrants further investigation.
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Affiliation(s)
- Katharine A Collier
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, OH
| | - Sarah Asad
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - David Tallman
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Janet Jenison
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Andrei Rajkovic
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Elaine R Mardis
- Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Heather A Parsons
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Sara M Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Eric P Winer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
| | - Gavin Ha
- Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Daniel G Stover
- Division of Medical Oncology, The Ohio State University College of Medicine, Columbus, OH.,Ohio State University Comprehensive Cancer Center, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
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Metzger-Filho O, Collier K, Asad S, Ansell PJ, Watson M, Bae J, Cherian M, O'Shaughnessy J, Untch M, Rugo HS, Huober JB, Golshan M, Sikov WM, von Minckwitz G, Rastogi P, Li L, Cheng L, Maag D, Wolmark N, Denkert C, Symmans WF, Geyer CE, Loibl S, Stover DG. Matched cohort study of germline BRCA mutation carriers with triple negative breast cancer in brightness. NPJ Breast Cancer 2021; 7:142. [PMID: 34764307 PMCID: PMC8586340 DOI: 10.1038/s41523-021-00349-y] [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] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/11/2021] [Indexed: 12/31/2022] Open
Abstract
In the BrighTNess trial, carboplatin added to neoadjuvant chemotherapy (NAC) was associated with increased pathologic complete response (pCR) rates in patients with stage II/III triple-negative breast cancer (TNBC). In this matched cohort study, cases with a germline BRCA1/2 mutation (gBRCA; n = 75) were matched 1:2 with non-gBRCA controls (n = 150) by treatment arm, lymph node status, and age to evaluate pCR rates and association of benefit from platinum/PARP inhibitors with validated RNA expression-based immune, proliferation, and genomic instability scores among gBRCA with the addition of carboplatin ± veliparib to NAC. Among the well-matched cohorts, odds of pCR were not higher in gBRCA cancers who received standard NAC with carboplatin (OR 0.24, 95% CI [0.04-1.24], p = 0.09) or with carboplatin/veliparib (OR 0.44, 95% CI [0.10-1.84], p = 0.26) compared to non-gBRCA cancers. Higher PAM50 proliferation, GeparSixto immune, and CIN70 genomic instability scores were each associated with higher pCR rate in the overall cohort, but not specifically in gBRCA cases. In this study, gBRCA carriers did not have higher odds of pCR than non-gBRCA controls when carboplatin ± veliparib was added to NAC, and showed no significant differences in molecular, immune, chromosomal instability, or proliferation gene expression metrics.
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Affiliation(s)
| | - Katharine Collier
- Department of Medicine, The Ohio State University College of Medicine, Columbus, OH, USA
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sarah Asad
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | | | - Mark Watson
- Washington University School of Medicine, St. Louis, MO, USA
| | - Junu Bae
- Department of Medicine, The Ohio State University College of Medicine, Columbus, OH, USA
| | - Mathew Cherian
- Department of Medicine, The Ohio State University College of Medicine, Columbus, OH, USA
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Joyce O'Shaughnessy
- Baylor University Medical Center, Texas Oncology, U.S. Oncology, Dallas, TX, USA
| | | | - Hope S Rugo
- University of California, San Francisco, San Francisco, CA, USA
| | | | - Mehra Golshan
- Department of Surgery, Yale Cancer Center, New Haven, CT, USA
| | - William M Sikov
- Women and Infants Hospital of Rhode Island, Providence, RI, USA
| | | | - Priya Rastogi
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA, USA
| | - Lang Li
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Lijun Cheng
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | | | | | - Carsten Denkert
- Institute of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), Marburg, Germany
| | - W Fraser Symmans
- University of Texas, MD Anderson Cancer Center, Houston, TX, USA
| | - Charles E Geyer
- Virginia Commonwealth University Massey Cancer Center, Richmond, VA, USA
- Houston Methodist, Houston, TX, USA
| | | | - Daniel G Stover
- Department of Medicine, The Ohio State University College of Medicine, Columbus, OH, USA.
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA.
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Hoyer A, Rehbinder EM, Färdig M, Asad S, Lødrup Carlsen KC, Endre KMA, Granum B, Haugen G, Hedlin G, Monceyron Jonassen C, Katayama S, Konradsen JR, Landrø L, LeBlanc M, Mägi Olsson CA, Rudi K, Skjerven HO, Staff AC, Vettukattil R, Bradley M, Nordlund B, Söderhäll C. Filaggrin mutations in relation to skin barrier and atopic dermatitis in early infancy. Br J Dermatol 2021; 186:544-552. [PMID: 34698386 DOI: 10.1111/bjd.20831] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Loss-of-function mutations in the skin barrier gene filaggrin (FLG) increase the risk of atopic dermatitis (AD), but their role in skin barrier function, dry skin and eczema in infancy is unclear. OBJECTIVES To determine the role of FLG mutations for impaired skin barrier function, dry skin, eczema and AD at three months of age and through infancy. METHODS FLG mutations were analyzed in 1836 infants in the Scandinavian population-based PreventADALL study. Transepidermal water loss (TEWL), dry skin, eczema and AD were assessed at three, six and 12 months of age. RESULTS Filaggrin mutations were observed in 166 (9%) infants. At three months, carrying FLG mutations was not associated with impaired skin barrier function (TEWL > 11.3 g/m2 /h) or dry skin, but with eczema (OR(95%CI): 2.76 (1.81, 4.23), p < 0.001). At six months, mutation carriers had significantly higher TEWL than non-mutation carriers (mean (95%CI) 9.68 (8.69, 10.68) vs. 8.24 (7.97, 8.15), p < 0.01) and at three and six months an increased risk of dry skin on truncus (OR: 1.87 (1.25, 2.80), p = 0.002; 2.44 (1.51, 3.95), p < 0.001) or extensor limb surfaces (1.52 (1.04, 2.22), p = 0.028; 1.74 (1.17, 2.57), p = 0.005). FLG mutations were associated with eczema and AD in infancy. CONCLUSION Filaggrin mutations were not associated with impaired skin barrier function or dry skin in general at three months of age, but increased the risk for eczema, as well as for dry skin on truncus and extensors at three and six months.
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Affiliation(s)
- A Hoyer
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - E M Rehbinder
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Dermatology and Venerology, Oslo University Hospital, Oslo, Norway
| | - M Färdig
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - S Asad
- Dermatology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - K C Lødrup Carlsen
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - K M A Endre
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Dermatology and Venerology, Oslo University Hospital, Oslo, Norway
| | - B Granum
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - G Haugen
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Obstetrics and Gynaecology, Oslo University Hospital, Oslo, Norway
| | - G Hedlin
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - C Monceyron Jonassen
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway.,Genetic Unit, Centre for Laboratory Medicine, Østfold Hospital Trust, Kalnes, Norway
| | - S Katayama
- Folkhälsan Research Center, Helsinki, Finland.,Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden.,Stem Cells and Metabolism Research Program, University of Helsinki, Helsinki, Finland
| | - J R Konradsen
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - L Landrø
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Dermatology and Venerology, Oslo University Hospital, Oslo, Norway
| | - M LeBlanc
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - C A Mägi Olsson
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - K Rudi
- Faculty of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Ås, Norway
| | - H O Skjerven
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - A C Staff
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Obstetrics and Gynaecology, Oslo University Hospital, Oslo, Norway
| | - R Vettukattil
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - M Bradley
- Dermatology Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - B Nordlund
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - C Söderhäll
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.,Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
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Collier K, Tallman D, Weber Z, Haynam M, Adams EJ, Jenison J, Asad S, Lustberg MB, Cherian MA, Ramaswamy B, Sardesai SD, Williams NO, Wesolowski R, VanDeusen JB, Gatti-Mays ME, Pariser A, Mortazavi A, Stover DG. Serial circulating tumor DNA samples from patients with metastatic breast cancer and BRCA1/2 mutations. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.1025] [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
1025 Background: Analysis of circulating tumor DNA (ctDNA) over time allows non-invasive evaluation of tumor genomic evolution. We characterize changes in tumor fraction (TFx), somatic copy number alterations (SCNAs), and somatic mutations (muts) over time in patients (pts) with BRCA1/2 muts and metastatic breast cancer (mBC) who received a PARP inhibitor (PARPi) or platinum chemotherapy. Specifically, we seek to identify the frequency of BRCA1/2 reversion muts. Methods: Pts with mBC and germline or somatic BRCA1/2 muts were identified on a banking protocol of prospectively-collected serial samples of blood and plasma. Control pts without a BRCA1/2 mut were matched 2:1 by age and hormone receptor (HR) status. Ultra-low-pass whole genome sequencing (ULPWGS) with 0.1x depth was performed on all plasma samples (n = 103) and the ichorCNA algorithm was used to determine TFx and SCNAs. Targeted panel sequencing (TPS) of 402 cancer-related genes was performed at 10,000x depth on plasma samples, and one blood sample per pt. The panel includes BRCA1/2 and 38 other DNA damage repair (DDR) genes. Somatic muts were identified by joint calling with Mutect2 across plasma timepoints with paired pt normal blood. Germline variant calling from TPS on blood with HaplotypeCaller was used to confirm germline muts in BRCA1/2.Results: We identified 10 pts with mBC with a germline (n = 7) or somatic (n = 3) BRCA1 (n = 2) or BRCA2 (n = 8) mut and banked blood and plasma samples at 3-9 timepoints at a median of 8 weeks apart (range 1-43). The control cohort of 20 pts with mBC and wildtype BRCA1/2 was well matched by age and HR status. All pts with BRCA1/2 muts received a PARPi and/or platinum chemotherapy at some point during sample collection. Half of control pts received platinum chemotherapy. Germline BRCA1/2 muts were confirmed in all 7 pts with known germline muts. Among the BRCA1/2 mut cohort, median TFx was 0.04 (range 0-0.57) with 20% of samples having TFx > 0.10. A median of 1.5 (range 0-39) somatic muts per pt were found in DDR genes. Four pts (40%) had secondary non-reversion muts in BRCA1/2. A reversion mut of a germline BRCA2 mut, restoring the open reading frame of BRCA2, was discovered at the last timepoint from 1 pt while receiving carboplatin. A germline BRCA1/2 reversion mut in this cohort occurred in 2.3% of samples, 14.3% of pts. There was no significant difference in the percent of genome with a SCNA between the first and last time point, nor before and after PARPi/platinum. The somatic mut landscape and clonal evolution of TPS using PyClone will be presented. Conclusions: Evaluation of serial ctDNA samples for TFx, SCNAs, and somatic muts from banked plasma and blood from pts with mBC is feasible. The frequency of reversion muts in BRCA1/2 was low, suggesting that either their incidence is low or ctDNA TPS is not sensitive enough to detect them. Secondary non-reversion muts in BRCA1/2 and other somatic DDR muts were more common. SCNAs were stable over time.
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Affiliation(s)
- Katharine Collier
- Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, OH
| | - David Tallman
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Zachary Weber
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Marcy Haynam
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Janet Jenison
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Sarah Asad
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | | | | | | | | | | | | | | | - Ashley Pariser
- Division of Medical Oncology, The Ohio State University Wexner Medical Center, Columbus, OH
| | - Amir Mortazavi
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Daniel G. Stover
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
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Weber ZT, Collier KA, Tallman D, Forman J, Shukla S, Asad S, Rhoades J, Freeman S, Parsons HA, Williams NO, Barroso-Sousa R, Stover EH, Mahdi H, Cibulskis C, Lennon NJ, Ha G, Adalsteinsson VA, Tolaney SM, Stover DG. Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer. Genome Med 2021; 13:89. [PMID: 34016182 PMCID: PMC8136103 DOI: 10.1186/s13073-021-00895-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 04/23/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) offers minimally invasive means to repeatedly interrogate tumor genomes, providing opportunities to monitor clonal dynamics induced by metastasis and therapeutic selective pressures. In metastatic cancers, ctDNA profiling allows for simultaneous analysis of both local and distant sites of recurrence. Despite the promise of ctDNA sampling, its utility in real-time genetic monitoring remains largely unexplored. METHODS In this exploratory analysis, we characterize high-frequency ctDNA sample series collected over narrow time frames from seven patients with metastatic triple-negative breast cancer, each undergoing treatment with Cabozantinib, a multi-tyrosine kinase inhibitor (NCT01738438, https://clinicaltrials.gov/ct2/show/NCT01738438 ). Applying orthogonal whole exome sequencing, ultra-low pass whole genome sequencing, and 396-gene targeted panel sequencing, we analyzed 42 plasma-derived ctDNA libraries, representing 4-8 samples per patient with 6-42 days between samples. Integrating tumor fraction, copy number, and somatic variant information, we model tumor clonal dynamics, predict neoantigens, and evaluate consistency of genomic information from orthogonal assays. RESULTS We measured considerable variation in ctDNA tumor faction in each patient, often conflicting with RECIST imaging response metrics. In orthogonal sequencing, we found high concordance between targeted panel and whole exome sequencing in both variant detection and variant allele frequency estimation (specificity = 95.5%, VAF correlation, r = 0.949), Copy number remained generally stable, despite resolution limitations posed by low tumor fraction. Through modeling, we inferred and tracked distinct clonal populations specific to each patient and built phylogenetic trees revealing alterations in hallmark breast cancer drivers, including TP53, PIK3CA, CDK4, and PTEN. Our modeling revealed varied responses to therapy, with some individuals displaying stable clonal profiles, while others showed signs of substantial expansion or reduction in prevalence, with characteristic alterations of varied literature annotation in relation to the study drug. Finally, we predicted and tracked neoantigen-producing alterations across time, exposing translationally relevant detection patterns. CONCLUSIONS Despite technical challenges arising from low tumor content, metastatic ctDNA monitoring can aid our understanding of response and progression, while minimizing patient risk and discomfort. In this study, we demonstrate the potential for high-frequency monitoring of evolving genomic features, providing an important step toward scalable, translational genomics for clinical decision making.
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Affiliation(s)
- Zachary T Weber
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
| | - Katharine A Collier
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
- Division of Medical Oncology, Department of Medicine, College of Medicine, The Ohio State University, 320 W. 10th Avenue, Columbus, OH, 43210, USA
| | - David Tallman
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
| | - Juliet Forman
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Sachet Shukla
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Sarah Asad
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
| | - Justin Rhoades
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
| | - Samuel Freeman
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
| | - Heather A Parsons
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Nicole O Williams
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA
- Division of Medical Oncology, Department of Medicine, College of Medicine, The Ohio State University, 320 W. 10th Avenue, Columbus, OH, 43210, USA
| | | | - Elizabeth H Stover
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Haider Mahdi
- Department of Obstetrics and Gynecology, Cleveland Clinic, Cleveland, OH, 44195, USA
- Department of Surgery, Case Comprehensive Cancer Center, Cleveland, OH, 44106, USA
| | - Carrie Cibulskis
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
| | - Niall J Lennon
- Broad Institute of Harvard & MIT, 415 Main St., Cambridge, MA, 02412, USA
| | - Gavin Ha
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | | | - Sara M Tolaney
- Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Daniel G Stover
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, 460 W. 12th Avenue, Columbus, OH, 43210, USA.
- Division of Medical Oncology, Department of Medicine, College of Medicine, The Ohio State University, 320 W. 10th Avenue, Columbus, OH, 43210, USA.
- Biomedical Research Tower, Room 984, Ohio State University Comprehensive Cancer Center, Stefanie Spielman Comprehensive Breast Center, Columbus, OH, 43210, USA.
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17
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Zhang Y, Asad S, Weber Z, Tallman D, Nock W, Wyse M, Bey JF, Dean KL, Adams EJ, Stockard S, Singh J, Winer EP, Lin NU, Jiang YZ, Ma D, Wang P, Shi L, Huang W, Shao ZM, Cherian M, Lustberg MB, Ramaswamy B, Sardesai S, VanDeusen J, Williams N, Wesolowski R, Obeng-Gyasi S, Sizemore GM, Sizemore ST, Verschraegen C, Stover DG. Genomic features of rapid versus late relapse in triple negative breast cancer. BMC Cancer 2021; 21:568. [PMID: 34006255 PMCID: PMC8130400 DOI: 10.1186/s12885-021-08320-7] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 05/06/2021] [Indexed: 12/17/2022] Open
Abstract
Background Triple-negative breast cancer (TNBC) is a heterogeneous disease and we have previously shown that rapid relapse of TNBC is associated with distinct sociodemographic features. We hypothesized that rapid versus late relapse in TNBC is also defined by distinct clinical and genomic features of primary tumors. Methods Using three publicly-available datasets, we identified 453 patients diagnosed with primary TNBC with adequate follow-up to be characterized as ‘rapid relapse’ (rrTNBC; distant relapse or death ≤2 years of diagnosis), ‘late relapse’ (lrTNBC; > 2 years) or ‘no relapse’ (nrTNBC: > 5 years no relapse/death). We explored basic clinical and primary tumor multi-omic data, including whole transcriptome (n = 453), and whole genome copy number and mutation data for 171 cancer-related genes (n = 317). Association of rapid relapse with clinical and genomic features were assessed using Pearson chi-squared tests, t-tests, ANOVA, and Fisher exact tests. We evaluated logistic regression models of clinical features with subtype versus two models that integrated significant genomic features. Results Relative to nrTNBC, both rrTNBC and lrTNBC had significantly lower immune signatures and immune signatures were highly correlated to anti-tumor CD8 T-cell, M1 macrophage, and gamma-delta T-cell CIBERSORT inferred immune subsets. Intriguingly, lrTNBCs were enriched for luminal signatures. There was no difference in tumor mutation burden or percent genome altered across groups. Logistic regression mModels that incorporate genomic features significantly outperformed standard clinical/subtype models in training (n = 63 patients), testing (n = 63) and independent validation (n = 34) cohorts, although performance of all models were overall modest. Conclusions We identify clinical and genomic features associated with rapid relapse TNBC for further study of this aggressive TNBC subset. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08320-7.
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Affiliation(s)
- Yiqing Zhang
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Sarah Asad
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Zachary Weber
- Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA
| | - David Tallman
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - William Nock
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Meghan Wyse
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Jerome F Bey
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Kristin L Dean
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Elizabeth J Adams
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Sinclair Stockard
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Jasneet Singh
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Eric P Winer
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Nancy U Lin
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Yi-Zhou Jiang
- Department of Breast Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, P.R. China
| | - Ding Ma
- Department of Breast Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, P.R. China
| | - Peng Wang
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, 200031, P.R. China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences and Human Phenome Institute, Fudan University, 2005 Songhu Road, Shanghai, 200438, P.R. China
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai (CHGC) and Shanghai Industrial Technology Institute (SITI), 250 Bibo Road, Shanghai, 201203, P.R. China
| | - Zhi-Ming Shao
- Department of Breast Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, 200032, P.R. China
| | - Mathew Cherian
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Maryam B Lustberg
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Bhuvaneswari Ramaswamy
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Sagar Sardesai
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Jeffrey VanDeusen
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Nicole Williams
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Robert Wesolowski
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Samilia Obeng-Gyasi
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA
| | - Gina M Sizemore
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Steven T Sizemore
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA
| | - Claire Verschraegen
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA
| | - Daniel G Stover
- Ohio State University College of Medicine, 370 W 9th Ave, Columbus, OH, 43210, USA. .,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, 460 W 10th Ave, Columbus, OH, 43210, USA. .,Department of Biomedical Informatics, The Ohio State University, Columbus, OH, 43210, USA. .,Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, 43212, USA. .,Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 512, Columbus, OH, 43210, USA.
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18
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Filho OM, Stover DG, Asad S, Ansell PJ, Watson M, Loibl S, Geyer CE, Bae J, Collier K, Cherian M, O'Shaughnessy J, Untch M, Rugo HS, Huober JB, Golshan M, Sikov WM, von Minckwitz G, Rastogi P, Maag D, Wolmark N, Denkert C, Symmans WF. Association of Immunophenotype With Pathologic Complete Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer: A Secondary Analysis of the BrighTNess Phase 3 Randomized Clinical Trial. JAMA Oncol 2021; 7:603-608. [PMID: 33599688 DOI: 10.1001/jamaoncol.2020.7310] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Adding carboplatin to standard neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC) likely benefits a subset of patients; however, determinants of benefit are poorly understood. Objective To define the association of molecular subtype, tumor proliferation, and immunophenotype with benefit of carboplatin added to NAC for patients with stages II to III TNBC. Design, Setting, and Participants This was a prespecified secondary analysis of a phase 3, double-blind, randomized clinical trial (BrighTNess) that enrolled 634 women across 145 centers in 15 countries. Women with clinical stages II to III TNBC who had undergone pretreatment biopsy were eligible to participate. Whole transcriptome RNA sequencing was performed on the biopsy specimens. The prespecified end point was association of pathologic complete response (pCR) with gene expression-based molecular subtype, with secondary end points investigating established signatures (proliferation, immune) and exploratory analyses of immunophenotype. Data were collected from April 2014 to March 2016. The study analyses were performed from January 2018 to March 2019. Interventions Neoadjuvant chemotherapy with paclitaxel followed by doxorubicin and cyclophosphamide, or this same regimen with carboplatin or carboplatin plus veliparib. Main Outcomes and Measures Association of gene expression-based molecular subtype (PAM50 and TNBC subtypes) with pCR. Results Of the 634 women (median age, 51 [range, 22-78] years) enrolled in BrighTNess, 482 (76%) patients had evaluable RNA sequencing data, with similar baseline characteristics relative to the overall intention-to-treat population. Pathologic complete response was significantly more frequent in PAM50 basal-like vs nonbasal-like cancers overall (202 of 386 [52.3%] vs 34 of 96 [35.4%]; P = .003). Carboplatin benefit was not significantly different in basal-like vs nonbasal-like subgroups (P = .80 for interaction). In multivariable analysis, proliferation (hazard ratio, 0.36; 95% CI, 0.21-0.61; P < .001) and immune (hazard ratio, 0.62; 95% CI, 0.49-0.79; P < .001) signatures were independently associated with pCR. Tumors above the median for proliferation and immune signatures had the highest pCR rate (84 of 125; 67%), while those below the median for both signatures had the lowest pCR rate (42 of 125; 34%). Exploratory gene expression immune analyses suggested that tumors with higher inferred CD8+ T-cell infiltration may receive greater benefit with addition of carboplatin. Conclusions and Relevance In this secondary analysis of a randomized clinical trial, triple-negative breast cancer subtyping revealed high pCR rates in basal-like and immunomodulatory subsets. Analysis of biological processes related to basal-like and immunomodulatory phenotypes identified tumor cell proliferation and immune scores as independent factors associated with achieving pCR; the benefit of carboplatin on pCR was seen across all molecular subtypes. Further validation of immunophenotype with existing biomarkers may help to escalate or de-escalate therapy for patients with TNBC. Trial Registration ClinicalTrials.gov Identifier: NCT02032277.
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Affiliation(s)
- Otto Metzger Filho
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Daniel G Stover
- Department of Medicine, The Ohio State University College of Medicine, Columbus.,Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus
| | - Sarah Asad
- Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus
| | | | | | | | - Charles E Geyer
- Massey Cancer Center, Virginia Commonwealth University, Richmond.,Now with Houston Methodist Cancer Center, Houston, Texas
| | - Junu Bae
- Department of Medicine, The Ohio State University College of Medicine, Columbus
| | - Katharine Collier
- Department of Medicine, The Ohio State University College of Medicine, Columbus.,Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus
| | - Mathew Cherian
- Department of Medicine, The Ohio State University College of Medicine, Columbus.,Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center, Columbus.,AbbVie, Inc, North Chicago, Illinois
| | | | | | | | - Jens B Huober
- University Medical Center Ulm, Ulm, Germany.,Now with Department of Interdisciplinary Medical Services, Breast Center, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Mehra Golshan
- Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.,Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, Massachusetts.,Now with Yale Cancer Center, New Haven, Connecticut
| | | | | | - Priya Rastogi
- University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, Pennsylvania
| | | | | | - Carsten Denkert
- Institute of Physiology and Pathophysiology, Department of Medicine, Philipps-University Marburg and University Hospital of Giessen and Marburg, Marburg, Germany
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19
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van Allen Z, Dogba MJ, Brent MH, Bach C, Grimshaw JM, Ivers NM, Wang X, McCleary N, Asad S, Chorghay Z, Hakim H, Sutakovic O, Drescher O, Légaré F, Witteman HO, Zettl M, Squires J, Tremblay MC, Randhawa A, Lopez G, Ben Guiza A, Presseau J. Barriers to and enablers of attendance at diabetic retinopathy screening experienced by immigrants to Canada from multiple cultural and linguistic minority groups. Diabet Med 2021; 38:e14429. [PMID: 33068305 DOI: 10.1111/dme.14429] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [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: 06/22/2020] [Revised: 09/11/2020] [Accepted: 10/14/2020] [Indexed: 12/27/2022]
Abstract
AIM To identify barriers to/enablers of attendance at eye screening among three groups of immigrantsto Canada from cultural/linguistic minority groups living with diabetes. METHODS Using a patient-oriented research approach leveraging Diabetes Action Canada's patient engagement platform, we interviewed a purposeful sample of people with type 2 diabetes who had immigrated to Canada from: Pakistan (interviews in Urdu), China (interviews in Mandarin) and French-speaking African and Caribbean nations (interviews in French). We collected and analysed data based on the Theoretical Domains Framework covering key modifiable factors that may operate as barriers to or enablers of attending eye screening. We used directed content analysis to code barrier/enabler domains. Barriers/enablers were mapped to behaviour change techniques to inform future intervention development. RESULTS We interviewed 39 people (13 per group). Many barriers/enablers were consistent across groups, including views about harms caused by screening itself, practical appointment issues including forgetting, screening costs, wait times and making/getting to an appointment, lack of awareness about retinopathy screening, language barriers, and family and clinical support. Group-specific barriers/enablers included a preference to return to one's country of birth for screening, the impact of winter, and preferences for alternative medicine. CONCLUSION Our results can inform linguistic and culturally competent interventions to support immigrants living with diabetes in attending eye screening to prevent avoidable blindness.
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Affiliation(s)
- Zack van Allen
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Psychology, University of Ottawa, Ottawa, Canada
| | - Maman Joyce Dogba
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
- Centre for Research on Primary Care and Services, Université Laval, Québec City, QC, Canada
| | - Michael H Brent
- Donald K Johnson Eye Institute, University Health Network, Toronto, Canada
| | - Catherine Bach
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
| | - Jeremy M Grimshaw
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Noah M Ivers
- Women's College Research Institute, Women's College Hospital, Toronto, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Canada
| | - Xiaoqin Wang
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Evidence-based Medicine Centre, Lanzhou University, Lanzhou, China
| | - Nicola McCleary
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
| | - Sarah Asad
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Zahraa Chorghay
- Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Hina Hakim
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
- Centre for Research on Primary Care and Services, Université Laval, Québec City, QC, Canada
| | - Olivera Sutakovic
- Donald K Johnson Eye Institute, University Health Network, Toronto, Canada
| | - Olivia Drescher
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
| | - France Légaré
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
- Centre for Research on Primary Care and Services, Université Laval, Québec City, QC, Canada
| | - Holly O Witteman
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
- Centre for Research on Primary Care and Services, Université Laval, Québec City, QC, Canada
| | - Mary Zettl
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
| | - Janet Squires
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Nursing, University of Ottawa, Ottawa, Canada
| | - Marie-Claude Tremblay
- Department of Family and Emergency Medicine, Université Laval, Québec, Canada
- Centre for Research on Primary Care and Services, Université Laval, Québec City, QC, Canada
| | | | | | | | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- School of Psychology, University of Ottawa, Ottawa, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada
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20
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Castillo G, Lalu M, Asad S, Foster M, Kekre N, Fergusson D, Hawrysh T, Atkins H, Thavorn K, Montroy J, Schwartz S, Holt R, Broady R, Presseau J. Hematologists' barriers and enablers to screening and recruiting patients to a chimeric antigen receptor (CAR) T cell therapy trial: a theory-informed interview study. Trials 2021; 22:230. [PMID: 33766105 PMCID: PMC7995587 DOI: 10.1186/s13063-021-05121-y] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 02/11/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Novel therapies often fail to reach the bedside due to low trial recruitment rates. Prior to conducting one of the first chimeric antigen receptor (CAR) T cell therapy trials in Canada, we used the Theoretical Domains Framework, a novel tool for identifying barriers and enablers to behavior change, to identify physician-related barriers and enablers to screening and recruiting patients for an early phase immunotherapy trial. METHODS We conducted interviews with hematologists across Canada and used a directed content analysis to identify relevant domains reflecting the key factors that may affect screening and recruitment. RESULTS In total, we interviewed 15 hematologists. Physicians expressed "cautious hope"; while expressing safety, feasibility, and screening criteria concerns, 14 out of 15 hematologists intended to screen for the trial (domains: knowledge, goals, beliefs about consequences, intentions). Physicians underscored the "challenging contexts," identifying resources, workload, forgetting, and patient wait times to receive CAR T cells as key practical barriers to screening (domains: environmental context and resources, memory, attention and decision-making, behavioral regulation). They also highlighted "variability in roles and procedures" that may lead to missed trial candidates (domain: social and professional role). Left unaddressed, these barriers may undermine trial recruitment. CONCLUSIONS This study is among the first to use the Theoretical Domains Framework from the physician perspective to identify recruitment challenges to early phase trials and demonstrates the value of this approach for identifying barriers to screening and recruitment that may not otherwise have been elicited. This approach can optimize trial procedures and may serve to inform future promising early phase cancer therapy trials. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT03765177 . Registered on December 5, 2018.
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Affiliation(s)
- Gisell Castillo
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Manoj Lalu
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Department of Anaesthesiology and Pain Medicine, University of Ottawa at the Ottawa Hospital General Campus, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Sarah Asad
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Madison Foster
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Natasha Kekre
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blood and Marrow Transplant Program, The Ottawa Hospital, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Dean Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada
| | | | - Harold Atkins
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blood and Marrow Transplant Program, The Ottawa Hospital, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada
- Institute for Clinical and Evaluative Sciences (ICES), University of Ottawa, 1053 Carling Ave., Ottawa, Ontario, K1Y 4E9, Canada
| | - Joshua Montroy
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada
| | | | - Robert Holt
- BC Cancer Genome Sciences Centre, 100-570 West 7th Avenue, Vancouver, British Columbia, V5Z 4S6, Canada
| | - Raewyn Broady
- Leukemia/BMT Program, Vancouver General Hospital, 2775 Laurel St - 10th floor, Vancouver, British Columbia, V5Z 1M9, Canada
| | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada.
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, Ontario, K1H 8L6, Canada.
- School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Ottawa, Ontario, K1G 5Z3, Canada.
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21
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Castillo G, Lalu MM, Asad S, Foster M, Kekre N, Fergusson DA, Hawrysh T, Atkins H, Thavorn K, Montroy J, Schwartz S, Holt RA, Broady R, Presseau J. Navigating choice in the face of uncertainty: using a theory informed qualitative approach to identifying potential patient barriers and enablers to participating in an early phase chimeric antigen receptor T (CAR-T) cell therapy trial. BMJ Open 2021; 11:e043929. [PMID: 33741670 PMCID: PMC7986876 DOI: 10.1136/bmjopen-2020-043929] [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] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 02/02/2021] [Accepted: 02/16/2021] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES Bench to bedside translation of groundbreaking treatments like chimeric antigen receptor T (CAR-T) cell therapy depends on patient participation in early phase trials. Unfortunately, many novel therapies fail to be adequately evaluated due to low recruitment rates, which slows patient access to emerging treatments. Using the Theoretical Domains Framework (TDF), we sought to identify potential patient barriers and enablers to participating in an early phase CAR-T cell therapy trial. DESIGN We used qualitative semistructured interviews to identify potential barriers and enablers to patients' hypothetical participation in an early phase CAR-T cell therapy trial. We used the TDF and directed content analysis to identify relevant domains based on frequency, relevance and the presence of conflicting beliefs. PARTICIPANTS Canadian adult patients diagnosed with haematological malignancies. RESULTS In total, we interviewed 13 participants (8 women, 5 men). Participants ranged in age from 18 to 73 (median=56) and had been living with haematological cancer from a few months to several years. We found participants were unfamiliar with CAR-T cell therapy but wished to know more about treatment safety, efficacy and trial logistics (domains: knowledge, beliefs about consequences). They were motivated by altruistic considerations, though many prioritised personal health benefits despite recognising the goals (ie, establishing safety) of early phase clinical trials (domains: goals, intentions). Every participant valued receiving medical advice from their haematologists and oncologists, though some preferred impartial medical experts to inform their decision making (domain: social influences). Finally, participants indicated that improving access to financial and social supports would improve their trial participation experience (domain: environmental context and resources). CONCLUSION Using the TDF allowed us to identify factors that might undermine participation to a CAR-T cell therapy trial and to optimise recruitment processes by considering patient perspectives to taking part in early phase trials.Trial regestration: NCT03765177; Pre-results.
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Affiliation(s)
- Gisell Castillo
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Manoj M Lalu
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Department of Anaesthesiology and Pain Medicine, Ottawa Hospital General Campus, Ottawa, Ontario, Canada
| | - Sarah Asad
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Madison Foster
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Natasha Kekre
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Blood and Marrow Transplant Program, Ottawa Hospital General Campus, Ottawa, Ontario, Canada
| | - Dean A Fergusson
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Harold Atkins
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Blood and Marrow Transplant Program, Ottawa Hospital General Campus, Ottawa, Ontario, Canada
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- ICES University of Ottawa, Institute for Clinical Evaluative Sciences, Ottawa, Ontario, Canada
| | - Joshua Montroy
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | | | - Robert A Holt
- Genome Sciences Centre, BC Cancer, Vancouver, British Columbia, Canada
| | - Raewyn Broady
- Leukemia/BMT Program, Vancouver General Hospital, Vancouver, British Columbia, Canada
| | - Justin Presseau
- Blueprint Translational Research Group, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Asad S, Barcenas CH, Bleicher RJ, Cohen AL, Javid SH, Levine EG, Lin NU, Moy B, Niland J, Wolff AC, Hassett MJ, Stover DG. Sociodemographic Factors Associated With Rapid Relapse in Triple-Negative Breast Cancer: A Multi-Institution Study. J Natl Compr Canc Netw 2021; 19:797-804. [PMID: 33691275 DOI: 10.6004/jnccn.2020.7659] [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] [Received: 03/30/2020] [Accepted: 09/23/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Triple-negative breast cancer (TNBC) accounts for disproportionately poor outcomes in breast cancer, driven by a subset of rapid-relapse TNBC (rrTNBC) with marked chemoresistance, rapid metastatic spread, and poor survival. Our objective was to evaluate clinicopathologic and sociodemographic features associated with rrTNBC. METHODS We included patients diagnosed with stage I-III TNBC in 1996 through 2012 who received chemotherapy at 1 of 10 academic cancer centers. rrTNBC was defined as a distant metastatic recurrence event or death ≤24 months after diagnosis. Features associated with rrTNBC were included in a multivariable logistic model upon which backward elimination was performed with a P<.10 criterion, with a final multivariable model applied to training (70%) and independent validation (30%) cohorts. RESULTS Among all patients with breast cancer treated at these centers, 3,016 fit the inclusion criteria. Training cohort (n=2,112) bivariable analyses identified disease stage, insurance type, age, body mass index, race, and income as being associated with rrTNBC (P<.10). In the final multivariable model, rrTNBC was significantly associated with higher disease stage (adjusted odds ratio for stage III vs I, 16.0; 95% CI, 9.8-26.2; P<.0001), Medicaid/indigent insurance, lower income (by 2000 US Census tract), and younger age at diagnosis. Model performance was consistent between the training and validation cohorts. In sensitivity analyses, insurance type, low income, and young age were associated with rrTNBC among patients with stage I/II but not stage III disease. When comparing rrTNBC versus late relapse (>24 months), we found that insurance type and young age remained significant. CONCLUSIONS Timing of relapse in TNBC is associated with stage of disease and distinct sociodemographic features, including insurance type, income, and age at diagnosis.
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Affiliation(s)
- Sarah Asad
- Ohio State University Wexner Medical Center, Columbus, Ohio
| | | | | | | | - Sara H Javid
- Seattle Cancer Care Alliance, Seattle, Washington
| | - Ellis G Levine
- Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | | | - Beverly Moy
- Massachusetts General Hospital, Boston, Massachusetts
| | - Joyce Niland
- City of Hope National Medical Center, Duarte, California; and
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Stover DG, Collier KA, Tallman D, Forman J, Shukla S, Asad S, Rhoades J, Freeman S, Cherian M, Sardesai S, Barroso-Sousa R, Cibulskis C, Lennon N, Ha G, Tolaney SM, Adalsteinsson VA, Weber Z. Abstract PD9-08: Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer. Cancer Res 2021. [DOI: 10.1158/1538-7445.sabcs20-pd9-08] [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
Introduction: Circulating tumor DNA (ctDNA) offers the ability to repeatedly interrogate tumor genomic information, providing an opportunity for real-time monitoring of tumor genomic dynamics. In this study, we deeply analyzed multiple ctDNA samples collected over narrow time frames (days-to-weeks) from seven patients with metastatic triple-negative breast cancer (mTNBC), a cancer type known to have high ctDNA content. Methods: Patients with mTNBC were enrolled in a clinical trial of multi-kinase inhibitor cabozantinib, providing uniform and targeted treatment, and samples were collected day 1, day 8, then every 21 to 42 days on study. ctDNA was extracted from each plasma sample and underwent ultra-low pass whole genome sequencing (ULP-WGS; average depth 0.1x; n=42 samples), deep targeted panel sequencing (TPS) of 402 cancer-related genes with unique molecular identifier indexing (depth 10,000x; n=42 samples), and samples with tumor fraction (TFx) >10% underwent whole exome sequencing (WES; depth 200x; n=31 samples), with whole blood germline sequencing of both TPS and WES for subsequent analyses. Somatic copy number alterations (SCNAs) were identified from ULP-WGS and WES. PyClone with TPS was employed for clonal dynamic analyses. Predicted neoantigens were determined from WES using HLAthena. Results: A total of 42 total plasma samples from 7 patients (range 4-8 samples per patient) were collected at narrow time intervals, median 21 days (range 6 to 42 days) between samples. The median TFx across all samples was 18.1% (range 2.5% to 44.3%). TFx estimates were concordant when comparing orthogonal sequencing approaches (ULP-WGS, WES) and tumor fraction estimation algorithms (ichorCNA, FACETS). Despite all seven patients having ‘stable disease’ as best objective response, TFx dynamics were widely variable with TFx declining to lower limit of detection in three of seven patients. Of all samples, 31/42 (73.8%) had tumor fraction >10% and underwent WES; each patient had at least 3 samples that underwent both WES and TPS. There was strong agreement between TPS and WES: across all 31 shared samples, mutation recall in TPS versus WES (gold standard) was 95.5%. Variant allele frequency across all mutations detected in both TPS and WES was highly concordant (Pearson’s r=0.949). Clonal mutations were consistently detected across multiple samples within patients. When comparing genome-wide copy number from last to first available sample within each patient, copy number log ratios were largely stable within patients (union Pearson’s r=0.924) and there were not recurrent shifts in SCNAs across patients. Through statistical modeling of TPS data, we tracked distinct clonal populations for each patient over their sampling windows. Modeled clonal architecture in most patients revealed stable, polyclonal profiles, with important breast cancer driver alterations (e.g. TP53 and PIK3CA) recurrently presenting at high prevalence. Infrequently, we also detected emergence and expansion of clones over narrow time frames (weeks) containing acquired alterations poorly annotated in the breast cancer literature. We successfully predicted neoantigens from ctDNA WES at multiple time points in each patient, with evidence that patients acquired new mutations predicted to be ‘strong binder’ neoantigens over time on therapy. Conclusions: Analysis of serial ctDNA samples collected at narrow time intervals (days-to-weeks) provides unique insight into the dynamics of ctDNA. We demonstrate strong concordance across ctDNA sequencing appraoches. Evolving genomic features of tumor populations can be identified via ctDNA while on treatment, potentially providing real time insight for clinical decision-making.
Citation Format: Daniel G Stover, Katharine A Collier, David Tallman, Juliet Forman, Sachet Shukla, Sarah Asad, Justin Rhoades, Samuel Freeman, Mathew Cherian, Sagar Sardesai, Romualdo Barroso-Sousa, Carrie Cibulskis, Niall Lennon, Gavin Ha, Sara M Tolaney, Viktor A Adalsteinsson, Zachary Weber. Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer [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 PD9-08.
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Affiliation(s)
- Daniel G Stover
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - David Tallman
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | | | - Sarah Asad
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | | | - Mathew Cherian
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Sagar Sardesai
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | | | - Niall Lennon
- 2Broad Institute of Harvard and MIT, Cambridge, MA
| | - Gavin Ha
- 4Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | | | - Zachary Weber
- 1Ohio State University Comprehensive Cancer Center, Columbus, OH
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Obeng-Gyasi S, Asad S, Fisher JL, Rahurkar S, Stover DG. Socioeconomic and Surgical Disparities are Associated with Rapid Relapse in Patients with Triple-Negative Breast Cancer. Ann Surg Oncol 2021; 28:6500-6509. [PMID: 33586064 DOI: 10.1245/s10434-021-09688-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/19/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND A subset of triple-negative breast cancer (TNBC) is characterized by aggressive disease, rapid relapse, and mortality within 24 months of diagnosis, termed "rapid relapse" TNBC (rrTNBC). The objective of this study is to define the association between sociodemographic variables and surgical management among rrTNBC patients in the Surveillance, Epidemiology and End Results (SEER) Program. METHODS TNBC patients diagnosed from January 1, 2010 to December 31, 2014 with local or regional disease were identified in SEER. Patients were stratified as rrTNBC, defined as disease specific mortality ≤ 24 months after diagnosis, and non-rrTNBC. Chi-squared tests, t tests, and multivariable logistic regression were used to assess the association of rapid relapse with sociodemographic variables and surgical management. RESULTS The cohort included 8% (1378/17,369) rrTNBCs. A higher proportion of rrTNBC patients had no surgery (11.7%) compared with non-rrTNBC (2.6%). Omission of axillary staging among patients who had surgery was 6.2% rrTNBC versus 4.5% non-rrTNBC. Black race (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.05-1.43; p = 0.01; white ref), Medicaid or no insurance (Medicaid OR 1.53, 95% CI 1.31-1.79; p < 0.001; no insurance OR 1.74, 95% CI 1.31-2.32; p < 0.001; private ref), single status (OR 1.19, 95% CI 1.01-1.39; p = 0.03; married ref), no breast (OR 2.35, 95% CI 1.77-3.11; p < 0.001; mastectomy ref), and no axillary surgery (OR 1.44, 95% CI 1.13-1.83; p = 0.003 axillary surgery ref) were associated with rapid relapse. CONCLUSIONS Medicaid or no insurance, single status, black race, and no surgery are associated with higher odds of rrTNBC in SEER. These results indicate an interplay between socioeconomic factors, clinical and genomic variables may be disproportionately contributing to worse outcomes among a subset of TNBC patients.
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Affiliation(s)
- Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA. .,The Ohio State University College of Medicine, Columbus, OH, USA. .,Stefanie Spielman Comprehensive Breast Center, Columbus, OH, USA.
| | - Sarah Asad
- The Ohio State University College of Medicine, Columbus, OH, USA
| | - James L Fisher
- The Ohio State University College of Medicine, Columbus, OH, USA.,James Cancer Hospital and Solove Research Institute, Columbus, OH, USA
| | - Saurabh Rahurkar
- Department of Biomedical Informatics, Lincoln Tower, The Ohio State University, Columbus, OH, USA
| | - Daniel G Stover
- The Ohio State University College of Medicine, Columbus, OH, USA.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH, USA.,James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.,Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
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Hwang S, Bozkurt B, Huson T, Asad S, Richardson L, Ogbansiegbe J, Viera L, Buse C, Mayer D, Shulman LN, Birken SA. Strategies for comprehensive implementation of survivorship care: A qualitative analysis of CoC-accredited cancer programs. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.29_suppl.209] [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
209 Background: The Commission on Cancer (CoC) seeks to promote comprehensive approaches to implementing survivorship programs among accredited cancer programs. In practice, cancer programs’ approaches range from cursory (e.g., developing care plans without robust services) to comprehensive (e.g., facilitating follow-up care). This study identified strategies that were unique to cancer programs with comprehensive approaches to implementing survivorship programs. Methods: We sampled 39 CoC-accredited cancer programs with approaches to survivorship program implementation ranging from cursory to comprehensive, as reported in CoC annual surveys. Within sampled cancer programs, we conducted in-depth semi-structured interviews with a total of 42 healthcare professionals (1-2/program). We identified strategies unique to cancer programs with comprehensive approaches by comparing them to cancer programs with cursory approaches. Results: Cancer programs with comprehensive approaches to implementing survivorship programs had formal committees with ample opportunities to evaluate the progress, revise roles, and acquire multiple stakeholders’ support. Keeping a good record system enabled these cancer programs to meet accreditation requirements and improve processes. Buy-in from upper management and key physicians was deemed crucial in leveraging cancer program resources. These programs also had clear roles with shared accountability among multidisciplinary groups. Like cancer programs with comprehensive approaches to implementing survivorship programs, many cancer programs with cursory approaches also had formal committees; however, cancer programs with cursory approaches lacked buy-in from key stakeholders, relying on few staff or a champion for implementation. Cancer programs with cursory approaches had limited resources, cumbersome processes, and team members with unclear roles. Conclusions: Cancer programs with comprehensive approaches to survivorship program implementation gained broad stakeholder buy-in and established clear team member roles with shared accountability. Study findings will inform more than 1500 CoC-accredited US cancer programs’ approaches to implementing survivorship programs. At the conference, we will have results from quantitative and measures validation companion studies.
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Affiliation(s)
- Soohyun Hwang
- University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Burcu Bozkurt
- University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Tamara Huson
- MACPAC: Medicaid and CHIP Payment and Access Commission, Washington, DC
| | - Sarah Asad
- University of North Carolina Chapel Hill, Chapel Hill, NC
| | | | | | - Laura Viera
- University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Caroline Buse
- University of North Carolina Chapel Hill, Chapel Hill, NC
| | | | | | - Sarah A. Birken
- The University of North Carolina at Chapel Hill, Chapel Hill, NC
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Tallman D, Stockard S, Weber ZT, Asad S, Collier K, Adams E, Bey J, Stover DG. Abstract 5471: CNSigs: An R package for the identification of copy number signatures. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-5471] [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
Copy number aberrations (CNAs) are gains and losses of large genomic segments present across most cancer types and are a hallmark of cancer genomic alterations. However, the processes underlying CNAs and characteristic patterns of CNAs are poorly understood. Using single nucleotide variant (SNV) data, bioinformatic advances have identified underlying mutational signatures resulting from distinct mutational processes. Mutational signatures have led to a variety of discoveries, several of which are being investigated in clinical management of cancer. The development of algorithms able to uncover similar signatures for CNAs, rather than SNVs, is still in its infancy. Here we present an analysis package for the R programming language called CNSigs that allows for the robust and reproducible derivation of copy number signatures. Based on a list of extracted copy number features previously verified in ovarian cancer, we utilize mixed model approaches and non-negative matrix factorization to derive CNA signatures across cancer types. The development of a package to derive signatures from copy number data allows further investigation of underlying processes that may be responsible for these CNA fingerprints. To verify the reproducibility of the signatures, we derived signatures from two independent breast cancer datasets that use distinct copy number segmentation approaches. From these independent datasets we were able to recover the same signatures with high accuracy. We identified five signatures that are distinct from known breast cancer receptor-based or expression-based subtypes, yet reveal unique associations with underlying mutations, mutational processes, and transcriptional programs. To validate robustness, we applied the pipeline to 11 different cancer types from the TCGA dataset and showed that we were able to derive signatures from all of these cancer types of varying sample sizes. We identified certain signatures that cut across tumor types, while others are distinct to individual cancers. This work lays the groundwork for further analysis into the underlying molecular processes leading to these copy number signatures seen across cancer types. The CNSigs package also allows researchers to easily analyze their own samples to look for signatures in their copy number profiles and to compare these to signatures previously derived for their cancer type.
Citation Format: David Tallman, Sinclair Stockard, Zachary T. Weber, Sarah Asad, Katharine Collier, Elizabeth Adams, Jerome Bey, Daniel G. Stover. CNSigs: An R package for the identification of copy number signatures [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5471.
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Adams EJ, Asad S, Reinbolt R, Collier KA, Abdel-Rasoul M, Gillespie S, Chen JL, Cherian MA, Noonan AM, Sardesai S, VanDeusen J, Wesolowski R, Williams N, Shapiro CL, Macrae ER, Pilarski R, Toland AE, Senter L, Ramaswamy B, Lee CN, Lustberg MB, Stover DG. Metastatic breast cancer patient perceptions of somatic tumor genomic testing. BMC Cancer 2020; 20:389. [PMID: 32375690 PMCID: PMC7201768 DOI: 10.1186/s12885-020-06905-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 04/26/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND To assess metastatic breast cancer (MBC) patient psychological factors, perceptions, and comprehension of tumor genomic testing. METHODS In a prospective, single institution, single-arm trial, patients with MBC underwent next-generation sequencing at study entry with sequencing results released at progression. Patients who completed surveys before undergoing sequencing were included in the present secondary analysis (n = 58). We administered four validated psychosocial measures: Center for Epidemiologic Studies Depression Scale, Beck Anxiety Inventory, Trust in Physician Scale, and Communication and Attitudinal Self-Efficacy scale for Cancer. Genetic comprehension was assessed using 7-question objective and 6-question subjective measures. Longitudinal data were assessed (n = 40) using paired Wilcoxon signed rank and McNemar's test of agreement. RESULTS There were no significant differences between the beginning and end of study in depression, anxiety, physician trust, or self-efficacy (median time on study: 7.6 months). Depression and anxiety were positively associated with each other and both negatively associated with self-efficacy. Self-efficacy decreased from pre- to post-genomic testing (p = 0.05). Objective genetics comprehension did not significantly change from pre- to post-genomic testing, but patients expressed increased confidence in their ability to teach others about genetics (p = 0.04). Objective comprehension was significantly lower in non-white patients (p = 0.02) and patients with lower income (p = 0.04). CONCLUSIONS This is the only study, to our knowledge, to longitudinally evaluate multiple psychological metrics in MBC as patients undergo tumor genomic testing. Overall, psychological dimensions remained stable over the duration of tumor genomic testing. Among patients with MBC, depression and anxiety metrics were negatively correlated with patient self-efficacy. Patients undergoing somatic genomic testing had limited genomic knowledge, which varied by demographic groups and may warrant additional educational intervention. CLINICAL TRIAL INFORMATION NCT01987726, registered November 13, 2013.
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Affiliation(s)
- Elizabeth J Adams
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
| | - Sarah Asad
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
| | - Raquel Reinbolt
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Division of Hospital Medicine, Ohio State University College of Medicine, Columbus, OH, USA
| | - Katharine A Collier
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
| | - Mahmoud Abdel-Rasoul
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Susan Gillespie
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - James L Chen
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
| | - Mathew A Cherian
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Anne M Noonan
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
| | - Sagar Sardesai
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Jeffrey VanDeusen
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Robert Wesolowski
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Nicole Williams
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | | | | | - Robert Pilarski
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
- Department of Cancer Biology & Genetics and Department of Internal Medicine, Division of Human Cancer Genetics, Ohio State University College of Medicine, Columbus, OH, USA
| | - Amanda E Toland
- Department of Cancer Biology & Genetics and Department of Internal Medicine, Division of Human Cancer Genetics, Ohio State University College of Medicine, Columbus, OH, USA
| | - Leigha Senter
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
- Department of Cancer Biology & Genetics and Department of Internal Medicine, Division of Human Cancer Genetics, Ohio State University College of Medicine, Columbus, OH, USA
| | - Bhuvaneswari Ramaswamy
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Clara N Lee
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
- Department of Plastic and Reconstructive Surgery, College of Medicine, The Ohio State University, OH, Columbus, USA
- Division of Health Services Management and Policy, College of Public Health, The Ohio State University, Columbus, OH, USA
| | - Maryam B Lustberg
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA
| | - Daniel G Stover
- The Ohio State University Comprehensive Cancer Center, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA.
- Division of Medical Oncology, Ohio State University College of Medicine, Columbus, OH, USA.
- Stefanie Spielman Comprehensive Breast Center, 1145 Olentangy River Rd, Columbus, OH, USA.
- Stefanie Spielman Comprehensive Breast Center, Ohio State University Comprehensive Cancer Center, Biomedical Research Tower, Room 512, Columbus, OH, 43210, USA.
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Adams EJ, Asad S, Abdel-Rasoul M, Reinbolt RE, Wesolowski R, Tolliver K, Gillespie S, Collier KA, Noonan A, Sardesai S, VanDeusen J, Williams N, Shapiro CL, Macre ER, Ramaswamy B, Lee CN, Lustberg MB, Stover DG. Abstract P5-10-03: Perceptions of somatic genomic testing in patients with metastatic breast cancer: Psychosocial factors, emotional well-being, and genetic comprehension. Cancer Res 2020. [DOI: 10.1158/1538-7445.sabcs19-p5-10-03] [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: Little is known regarding the effect of somatic tumor genomic testing on patient perceptions and psychological well-being. We previously demonstrated that patient perceptions of care can be negatively affected if their next cancer treatment is not supported by the genomic test. To further understand this, we investigated psychological effects of genomic testing, as well as sociodemographic and genomic comprehension factors that may attenuate these effects. Methods: In a prospective, single institution, single-arm trial, patients with metastatic breast cancer underwent next-generation sequencing (NGS) using Foundation Medicine at study entry, with sequencing results released to providers at time of next disease progression. We evaluated patient survey data before and after NGS, including questions about psychosocial characteristics, genetic comprehension, and perceived risks and expectations of the genomic testing. We evaluated psychosocial characteristics using 4 validated psychology measures: the Center for Epidemiologic Studies Depression Scale (CES-D), the Beck Anxiety Inventory (BAI), the Trust in Physician Scale (TPS), and the Communication and Attitudinal Self-Efficacy scale for Cancer (CASE-cancer). CASE-cancer measures self-efficacy, how confident patients are in their ability to navigate their cancer care. Genetic comprehension was assessed with a 7-question objective measure and a 6-question subjective measure. No formal genetic education was provided, but the informed consent process included an introduction to NGS. We included exploratory questions on perceived risks and expectations of NGS. Results: Among the 58 patients who completed the pre-NGS survey, we found high rates of depression (38%) and anxiety (47%) using validated metrics. Depression and anxiety were positively correlated (Pearson’s r=0.61; p<0.0001) but both were negatively correlated with self-efficacy (Pearson’s r=-0.43 and -0.42 for depression and anxiety, respectively; p=0.001 for both). Baseline genetic knowledge was significantly lower for non-white and lower income status patients (p=0.04 and 0.001, respectively). Genetic knowledge was not associated with any of the 4 validated psychological measures. The validated psychological measures were not associated with demographic characteristics, treatment decisions, or number of treatment options offered by the NGS test. The average time between pre-test and post-test surveys was 7.6 months. Additionally, the validated psychology measures did not significantly change from pre- to post-study (n=40 patients). However, there was a strong trend of self-efficacy decreasing from pre- to post-NGS testing (p=0.05). Subjectively, patients gained confidence in their ability to teach others about genetics from the start (33% “confident”) to the end of study (46%). Yet, objective comprehension of genetics remained modest throughout the study, with an average score of 72% in both the pre- and post-NGS surveys. The exploratory patient perception questions revealed that 33% of patients felt learning their cancer had a high chance of progressing would be too much to cope with emotionally. Conclusions: This is the first study, to our knowledge, to longitudinally evaluate multiple validated psychological metrics in MBC. NGS did not have a significant effect on depression, anxiety, or trust, but there was a trend towards decreased self-efficacy. This may be influenced by the already high rates of depression, anxiety, and trust in this population. In this study, patient genetic knowledge was limited and associated with race and income. These findings raise important questions about how to support MBC patient emotional well-being and how to improve comprehension of somatic genomic testing in future studies.
Citation Format: Elizabeth J Adams, Sarah Asad, Mahmoud Abdel-Rasoul, Raquel E Reinbolt, Robert Wesolowski, Kaitlyn Tolliver, Susan Gillespie, Katherine A Collier, Anne Noonan, Sargar Sardesai, Jeffrey VanDeusen, Nicole Williams, Charles L Shapiro, Erin R Macre, Bhuvaneswari Ramaswamy, Clara N Lee, Maryam B Lustberg, Daniel G Stover. Perceptions of somatic genomic testing in patients with metastatic breast cancer: Psychosocial factors, emotional well-being, and genetic comprehension [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-10-03.
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Affiliation(s)
| | - Sarah Asad
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | | | | | | | | | - Susan Gillespie
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Anne Noonan
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | - Sargar Sardesai
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Nicole Williams
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | | | | | | | - Clara N Lee
- 1The Ohio State University Wexner Medical Center, Columbus, OH
| | | | - Daniel G Stover
- 1The Ohio State University Wexner Medical Center, Columbus, OH
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Dogba MJ, Brent MH, Bach C, Asad S, Grimshaw J, Ivers N, Légaré F, Witteman HO, Squires J, Wang X, Sutakovic O, Zettl M, Drescher O, van Allen Z, McCleary N, Tremblay MC, Linklater S, Presseau J. Identifying Barriers and Enablers to Attending Diabetic Retinopathy Screening in Immigrants to Canada From Ethnocultural Minority Groups: Protocol for a Qualitative Descriptive Study. JMIR Res Protoc 2020; 9:e15109. [PMID: 32049067 PMCID: PMC7055809 DOI: 10.2196/15109] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 09/26/2019] [Accepted: 10/29/2019] [Indexed: 12/13/2022] Open
Abstract
Background Immigrants to Canada belonging to ethnocultural minority groups are at increased risk of developing diabetes and complications, including diabetic retinopathy, and they are also less likely to be screened and treated. Improved attendance to retinopathy screening (eye tests) has the potential to reduce permanent complications, including blindness. Objective This study aims to identify the barriers and enablers of attending diabetic retinopathy screening among ethnocultural minority immigrants living with diabetes in Quebec and Ontario, Canada, to inform the development of a behavior change intervention to improve diabetic retinopathy screening attendance. Methods The research question draws on the needs of patients and clinicians. Using an integrated knowledge translation approach, the research team includes clinicians, researchers, and patient partners who will contribute throughout the study to developing and reviewing materials and procedures, helping to recruit participants, and disseminating findings. Using a convenience snowball strategy, we will recruit participants from three target groups: South Asian and Chinese people, and French-speaking people of African descent. To better facilitate reaching these groups and support participant recruitment, we will partner with community organizations and clinics serving our target populations in Ontario and Quebec. Data will be collected using semistructured interviews, using topic guides developed in English and translated into French, Mandarin, Hindi, and Urdu, and conducted in those languages. Data collection and analysis will be structured according to the Theoretical Domains Framework (TDF), which synthesizes predominant theories of behavior change into 14 domains covering key modifiable factors that may operate as barriers or enablers to attending eye screening. We will use directed content analysis to code barriers and enablers to TDF domains, then thematic analysis to define key themes within domains. Results This study was approved for funding in December 2017, and the research ethics board approved the conduct of the study as of January 13, 2018. Data collection then began in April 2018. As of August 28, 2018, we have recruited 22 participants, and analysis is ongoing, with results expected to be published in 2020. Conclusions Findings from this study will inform the codevelopment of theory-informed, culturally- and linguistically-tailored interventions to support patients in attending retinopathy screening. International Registered Report Identifier (IRRID) DERR1-10.2196/15109
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Affiliation(s)
| | | | - Catherine Bach
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Sarah Asad
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Jeremy Grimshaw
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Noah Ivers
- Women's Health College, Toronto, ON, Canada
| | - France Légaré
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Holly O Witteman
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Janet Squires
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Xiaoqin Wang
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | | | - Mary Zettl
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Olivia Drescher
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Zack van Allen
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Nicola McCleary
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.,Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Marie-Claude Tremblay
- Department of Family Medicine and Emergency Medicine, Laval Unviersity, Québec, QC, Canada
| | - Stefanie Linklater
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Justin Presseau
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
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30
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Foster M, Fergusson DA, Hawrysh T, Presseau J, Kekre N, Schwartz S, Castillo G, Asad S, Fox G, Atkins H, Thavorn K, Montroy J, Holt RA, Monfaredi Z, Lalu MM. Partnering with patients to get better outcomes with chimeric antigen receptor T-cell therapy: towards engagement of patients in early phase trials. Res Involv Engagem 2020; 6:61. [PMID: 33072399 PMCID: PMC7557015 DOI: 10.1186/s40900-020-00230-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 09/06/2020] [Indexed: 05/03/2023]
Abstract
AIM Though patient engagement in clinical research is growing, recent reports suggest few clinical trials report on such activities. To address this gap, we describe our approach to patient engagement in the development of a clinical trial protocol to assess a new immunotherapy for blood cancer (chimeric antigen receptor T-cell therapy, CAR-T cell therapy). METHODS Our team developed a clinical trial protocol by working with patient partners from inception. Two patient partners with lived blood cancer experience were identified through referrals from our team's professional network and patient organization contacts. Our patient partners were onboarded to the team and engaged in several studies conducted to develop the clinical trial protocol, including a systematic review of the existing literature on the therapy, patient interviews and a survey to obtain perspectives on barriers and enablers to participating in the trial, an early economic analysis, and a retrospective cohort study. RESULTS Engaging patient partners enhanced our research in ways that would not have otherwise occurred. By selecting patient important outcomes for data collection, our partners helped flag that quality of life and health utility measures have not been reported in previous CAR-T cell therapy trials for blood cancer. Our partners also co-developed a non-technical summary of the systematic review that summarized results in an accessible manner. Our patient partners reviewed interview and survey questions, to improve the language and appropriateness; provided recruitment suggestions; and provided a patient perspective on the results, thereby confirming the importance of findings. Input was also obtained on costs for the early economic analysis. Our patient partners identified costs that may be a burden to both patients and caregivers during a trial and helped to confirm that the overall structure of the economic model reflected the patient care pathway. Our patient partners also shared their diagnosis and treatment stories, which helped to provide the research team with insight into this experience. CONCLUSIONS Contributions by our patient partners were invaluable to each component study, as well as the overall development of the trial protocol. We plan to use this approach in the future in order to meaningfully engage patients in the development of other clinical trials; we also hope that by reporting our methods this will help other research teams to do the same. TRIAL REGISTRATION Affiliated with the development of NCT03765177.
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Affiliation(s)
- Madison Foster
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Dean A Fergusson
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- School of Epidemiology and Public Health, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5 Canada
| | | | - Justin Presseau
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- School of Epidemiology and Public Health, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5 Canada
- School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Vanier Hall, Ottawa, ON K1N 6N5 Canada
| | - Natasha Kekre
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- Blood and Marrow Transplant Program, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | | | - Gisell Castillo
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Sarah Asad
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Grace Fox
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Harold Atkins
- Blood and Marrow Transplant Program, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Kednapa Thavorn
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- School of Epidemiology and Public Health, University of Ottawa, 451 Smyth Road, Ottawa, ON K1H 8M5 Canada
- Institute for Clinical and Evaluative Sciences, ICES uOttawa, 1053 Carling Ave, Ottawa, ON K1Y 4E9 Canada
| | - Joshua Montroy
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Robert A Holt
- BC Cancer Genome Sciences Centre, Canada’s Michael Smith Genome Sciences Centre, 570 W 7th Ave, Vancouver, BC V5Z 4S6 Canada
| | - Zarah Monfaredi
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- SPOR Program Facilitator, Ottawa Methods Centre, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
| | - Manoj M Lalu
- Clinical Epidemiology Program, Blueprint Translational Research Group, Ottawa Hospital Research Institute, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- Department of Anesthesiology, The Ottawa Hospital, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
- Department of Anesthesiology and Pain Medicine, University of Ottawa, 501 Smyth Road, Ottawa, ON K1H 8L6 Canada
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Stover DG, Reinbolt RE, Adams EJ, Asad S, Tolliver K, Abdel-Rasoul M, Timmers CD, Gillespie S, Chen JL, Ali SM, Collier KA, Cherian MA, Noonan AM, Sardesai S, VanDeusen J, Wesolowski R, Williams N, Lee CN, Shapiro CL, Macrae ER, Ramaswamy B, Lustberg MB. Prospective Decision Analysis Study of Clinical Genomic Testing in Metastatic Breast Cancer: Impact on Outcomes and Patient Perceptions. JCO Precis Oncol 2019; 3:1900090. [PMID: 32923860 DOI: 10.1200/po.19.00090] [Citation(s) in RCA: 5] [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] [Accepted: 10/26/2019] [Indexed: 01/28/2023] Open
Abstract
PURPOSE To evaluate the impact of targeted DNA sequencing on selection of cancer therapy for patients with metastatic breast cancer (MBC). PATIENTS AND METHODS In this prospective, single-center, single-arm trial, patients with MBC were enrolled within 10 weeks of starting a new therapy. At enrollment, tumor samples underwent next-generation sequencing for any of 315 cancer-related genes to high depth (> 500×) using FoundationOne CDx. Sequencing results were released to providers at the time of disease progression, and physician treatment recommendations were assessed via questionnaire. We evaluated three prespecified questions to assess patients' perceptions of genomic testing. RESULTS In all, 100 patients underwent genomic testing, with a median of five mutations (range, 0 to 13 mutations) detected per patient. Genomic testing revealed one or more potential therapies in 98% of patients (98 of 100), and 60% of patients (60 of 100) had one or more recommended treatments with level I/II evidence for actionability. Among the 94 genomic text reports that were released, there was physician questionnaire data for 87 patients (response rate, 92.6%) and 31.0% of patients (27 of 87) had treatment change recommended by their physician. Of these, 37.0% (10 of 27) received the treatment supported by genomic testing. We did not detect a statistically significant difference in time-to-treatment failure (log-rank P = .87) or overall survival (P = .71) among patients who had treatment change supported by genomic testing versus those who had no treatment change. For patients who completed surveys before and after genomic testing, there was a significant decrease in confidence of treatment success, specifically among patients who did not have treatment change supported by genomic testing (McNemar's test of agreement P = .001). CONCLUSION In this prospective study, genomic profiling of tumors in patients with MBC frequently identified potential treatments and resulted in treatment change in a minority of patients. Patients whose therapy was not changed on the basis of genomic testing seemed to have a decrease in confidence of treatment success.
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Affiliation(s)
- Daniel G Stover
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Raquel E Reinbolt
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | | | - Sarah Asad
- The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Katlyn Tolliver
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | | | - Cynthia D Timmers
- The Ohio State University College of Medicine, Columbus, OH.,The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Susan Gillespie
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - James L Chen
- The Ohio State University College of Medicine, Columbus, OH.,The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Katharine A Collier
- The Ohio State University College of Medicine, Columbus, OH.,The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Mathew A Cherian
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Anne M Noonan
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Sagar Sardesai
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Jeffrey VanDeusen
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Robert Wesolowski
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Nicole Williams
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Clara N Lee
- The Ohio State University Comprehensive Cancer Center, Columbus, OH.,The Ohio State University College of Public Health, Columbus, OH
| | | | | | - Bhuvaneswari Ramaswamy
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - Maryam B Lustberg
- The Ohio State University College of Medicine, Columbus, OH.,Stefanie Spielman Comprehensive Breast Center, Columbus, OH
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32
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Squires JE, Simard SN, Asad S, Stacey D, Graham ID, Coughlin M, Clemons M, Grimshaw JM, Zhang J, Caudrelier JM, Arnaout A. Exploring reasons for overuse of contralateral prophylactic mastectomy in Canada. ACTA ACUST UNITED AC 2019; 26:e439-e457. [PMID: 31548812 DOI: 10.3747/co.26.4951] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Background Contralateral prophylactic mastectomy (cpm) in women with known unilateral breast cancer (bca) has been increasing despite the lack of supportive evidence. The purpose of the present study was to identify the determinants of cpm in women with unilateral bca. Methods This qualitative descriptive study used semi-structured interviews informed by the Theoretical Domains Framework. We interviewed 74 key informants (surgical oncologists, plastic surgeons, medical oncologists, radiation oncologists, nurses, women with bca) across Canada. Interviews were analyzed using thematic analysis and an analysis for shared and discipline-specific beliefs. Results In total, 58 factors influencing the use of cpm were identified: 26 factors shared by various health care professional groups, 15 discipline-specific factors (identified by a single health care professional group), and 17 factors shared by women with unilateral bca. Health care professionals identified more factors discouraging the use of cpm (n = 26) than encouraging its use (n = 15); women with bca identified more factors encouraging use of cpm (n = 12) than discouraging its use (n = 5). The factor most commonly identified by health care professionals that encouraged cpm was lack of awareness of existing evidence or guidelines for the appropriate use of cpm (n = 44, 75%). For women with bca, the factor most likely influencing their decision for cpm was wanting a better esthetic outcome (n = 14, 93%). Conclusions Multiple factors discouraging and encouraging the use of cpm in unilateral bca were identified. Those factors identify potential individual, team, organization, and system targets for behaviour change interventions to reduce cpm.
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Affiliation(s)
- J E Squires
- School of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON.,Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON
| | - S N Simard
- Bloomberg School of Nursing, University of Toronto, Toronto, ON
| | - S Asad
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON
| | - D Stacey
- School of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON.,Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON
| | - I D Graham
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON.,School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON
| | - M Coughlin
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON
| | - M Clemons
- Department of Medicine, University of Ottawa, Ottawa, ON.,Division of Medical Oncology, The Ottawa Hospital Cancer Centre, Ottawa, ON.,Cancer Therapeutics Program, The Ottawa Hospital Research Institute, Ottawa, ON
| | - J M Grimshaw
- Clinical Epidemiology Program, The Ottawa Hospital Research Institute, Ottawa, ON.,Department of Medicine, University of Ottawa, Ottawa, ON
| | - J Zhang
- Department of Plastic Surgery, The Ottawa Hospital and University of Ottawa, Ottawa, ON
| | - J M Caudrelier
- Department of Radiation Oncology, The Ottawa Hospital and University of Ottawa, Ottawa, ON
| | - A Arnaout
- Cancer Therapeutics Program, The Ottawa Hospital Research Institute, Ottawa, ON.,Department of Surgery, The Ottawa Hospital and University of Ottawa, Ottawa, ON
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Singh J, Asad S, Zhang Y, Nock W, Adams E, Damicis A, Ramaswamy B, Williams N, Parsons HA, Adalsteinsson VA, Winer EP, Lin NU, Partridge AH, Overmoyer B, Stover DG. Aggressive Subsets of Metastatic Triple Negative Breast Cancer. Clin Breast Cancer 2019; 20:e20-e26. [PMID: 31631016 DOI: 10.1016/j.clbc.2019.06.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [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: 02/28/2019] [Revised: 05/22/2019] [Accepted: 06/22/2019] [Indexed: 11/25/2022]
Abstract
BACKGROUND Relative to other metastatic breast cancer subtypes, metastatic triple-negative breast cancer (mTNBC) has a shorter duration of response to therapy and worse overall survival. Among patients with mTNBC, it is hypothesized that inflammatory breast cancer (IBC) and young women have particularly aggressive phenotypes. We investigated clinical and cell-free DNA (cfDNA) characteristics of inflammatory-mTNBC and young-mTNBC. PATIENTS AND METHODS We evaluated 158 patients with mTNBC who were stratified into 3 groups: (1) IBC; (2) patients aged 45 years or younger at primary diagnosis without IBC (non-IBC young); and (3) patients over age 45 at diagnosis without IBC. We evaluated clinicopathologic characteristics, sites of metastasis, survival outcomes, and the fraction of DNA in circulation derived from tumor (TFx). RESULTS Analysis of metastatic sites revealed that young patients without IBC had the most frequent lung metastases (P = .002). cfDNA analyses of first sample showed that TFx was highest in the non-IBC young group but not elevated in the IBC group (analysis of variance P = .056 for first TFx). Individually, median overall survival from metastatic diagnosis for the IBC group was 15.2 months; for the non-IBC young group, 21.2 months, and for the non-IBC over 45 group, 31.2 months. Patients with IBC and young patients without IBC had worse prognosis relative to patients over 45 without IBC (log-rank P = .023). CONCLUSIONS Among patients with mTNBC in this single-institution cohort, patients with IBC and young patients without IBC had significantly worse overall survival compared with patients over 45 without IBC. Young patients without IBC had significantly higher cfDNA TFx, whereas patients with IBC did not have elevated TFx despite a poor prognosis. These findings demonstrate that further analyses of mTNBC subsets are warranted.
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Affiliation(s)
- Jasneet Singh
- Department of Medicine, Ohio State University College of Medicine, Columbus, OH
| | - Sarah Asad
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Yiqing Zhang
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - William Nock
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Elizabeth Adams
- Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Adrienne Damicis
- College of Public Health, Division of Biostatistics, Ohio State University, Columbus, OH
| | - Bhuvaneswari Ramaswamy
- Department of Medicine, Ohio State University College of Medicine, Columbus, OH; Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Nicole Williams
- Department of Medicine, Ohio State University College of Medicine, Columbus, OH; Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Heather A Parsons
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, Boston, MA
| | | | - Eric P Winer
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, Boston, MA
| | - Nancy U Lin
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, Boston, MA
| | - Ann H Partridge
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, Boston, MA
| | - Beth Overmoyer
- Department of Medical Oncology, Susan F. Smith Center for Women's Cancers, Dana-Farber Cancer Institute, Boston, MA
| | - Daniel G Stover
- Department of Medicine, Ohio State University College of Medicine, Columbus, OH; Division of Medical Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH.
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Guillot M, Asad S, Lalu MM, Lemyre B, Castillo G, Thébaud B, Presseau J. So You Want to Give Stem Cells to Babies? Neonatologists and Parents' Views to Optimize Clinical Trials. J Pediatr 2019; 210:41-47.e1. [PMID: 31005276 DOI: 10.1016/j.jpeds.2019.03.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2018] [Revised: 02/22/2019] [Accepted: 03/08/2019] [Indexed: 01/10/2023]
Abstract
OBJECTIVE To identify barriers and enablers that may influence parents' and neonatologists' participation in clinical trials of mesenchymal stromal cells for bronchopulmonary dysplasia. STUDY DESIGN This qualitative study involved one-on-one semistructured interviews with parents of extremely preterm infants (n = 18) and neonatologists (n = 16). Interview guides and directed content analysis were framed using the theoretical domains framework, a tool specifically developed for implementation research to identify influences on behavior. RESULTS Key barriers for parents included their lack of knowledge about clinical trial processes in general, stem cells, and concerns about their risks and side effects. Importantly, parents preferred to be approached for recruitment directly by a neonatologist, either before delivery or 1 or 2 weeks after birth. However, the majority of neonatologists felt that approaching parents was not part of their role. Neonatologists reported competing priorities, time commitment, costs, and lack of institutional support as significant barriers to their ability to recruit patients. CONCLUSIONS By integrating stakeholders early into the development of a clinical trial of mesenchymal stromal cell therapy, we identified and can address important barriers to enrollment. Some identified barriers were unanticipated and could have compromised recruitment had they not been identified by this study. We suggest that this approach can be used more broadly for other early phase clinical trials in pediatrics.
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Affiliation(s)
- Mireille Guillot
- Department of Pediatrics, Division of Neonatology, Children's Hospital of Eastern Ontario and The Ottawa Hospital, Ottawa, Ontario, Canada.
| | - Sarah Asad
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Manoj M Lalu
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Brigitte Lemyre
- Department of Pediatrics, Division of Neonatology, Children's Hospital of Eastern Ontario and The Ottawa Hospital, Ottawa, Ontario, Canada
| | - Gisell Castillo
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Bernard Thébaud
- Department of Pediatrics, Division of Neonatology, Children's Hospital of Eastern Ontario and The Ottawa Hospital, Ottawa, Ontario, Canada; Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, Ontario, Canada; Molecular Biomedicine, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Justin Presseau
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
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Metzger Filho O, Stover DG, Asad S, Ansell PJ, Watson M, Loibl S, Geyer CE, O'Shaughnessy J, Untch M, Rugo HS, Huober JB, Golshan M, Sikov WM, Von Minckwitz G, Rastogi P, Maag D, Wolmark N, Denkert C, Symmans WF. Immunophenotype and proliferation to predict for response to neoadjuvant chemotherapy in TNBC: Results from BrighTNess phase III study. J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.510] [Citation(s) in RCA: 5] [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
510 Background: In TNBC, the interplay between immunophenotype, tumor proliferation (prolif) and achievement of pathologic complete response (pCR) with neoadjuvant chemotherapy (NAC) remains unknown. Methods: RNA seq was performed on pre-tx research biopsies of stage II/III TNBC enrolled in BrighTNess. NAC regimens included paclitaxel alone or with carboplatin (Cb) or Cb plus veliparib, followed by AC. Computational analysis included subtyping (i.e. PAM50, Pietenpol), prolif (PAM50) and GeparSixto immune signature (GSIS). Cb-containing arms were combined due to similar pCR. Results: High quality RNA seq data was obtained from 482 of 634 pts. PAM50 classified 80.1% of tumors as basal-like. TNBC subtypes were mostly BL1 or BL2 (23.3%), IM (22.4%) or M/MSL (31.7%); 6% were LAR. pCR was higher for basal vs non-basal tumors (52.3% vs 35.4%, p = 0.003). IM had the highest pCR rate (64.2%, 95% CI 59.9%,68.5%). Basal-like was not a significant predictor for Cb benefit (p-interaction = 0.8). Prolif (OR = 0.30 p < 0.001) and GSIS (OR 0.68 p < 0.001) were significantly correlated with pCR but did not correlate with each other (Pearson’s r2 = 0.027). In multivariate analysis, prolif (HR = 0.36 95% CI, 0.21-0.61 p = 0.0002) and GSIS (HR = 0.62 95% CI, 0.49-0.79 p < 0.0001) increased the ability to predict pCR beyond standard clinico-pathologic variables (likelihood ratio = 14.9, p = 0.0001115). Among all pts, those above the median for both prolif. and GSIS had the highest pCR (67%; 84/125) while those below the median for both had the lowest pCR rate (34%; 42/125). Tumors with higher inferred CD8+ T-cell infiltration demonstrated greater benefit from Cb using either TIMER (HR = 0.83 [0.73-0.95]) or CIBERSORT (HR = 0.83 [0.76-0.91]). Tumors with higher inferred total macrophages, particularly immune suppressive M2 macrophages had a higher pCR rate on the non-Cb arm (AC-T) using CIBERSORT (HR = 1.27 [1.07,1.50]). Conclusions: Immunophenotype and proliferation are independent predictors of pCR to standard NAC regimens in TNBC. PAM50 is not a significant predictor of Cb benefit. Exploratory findings suggest that tumor infiltrating immunophenotype (i.e. CD8 T cells and macrophages) may predict response to specific NAC regimens in TNBC. Clinical trial information: NCT02032277.
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Affiliation(s)
| | - Daniel G. Stover
- Ohio State University Comprehensive Cancer Center, Division of Medical Oncology, Columbus, OH
| | - Sarah Asad
- Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Mark Watson
- Washington University in St. Louis School of Medicine, St. Louis, MO
| | - Sibylle Loibl
- German Breast Group (GBG) and Centre for Haematology and Oncology Bethanien, Frankfurt, Neu-Isenburg, Germany
| | - Charles E. Geyer
- NSABP Foundation and Virginia Commonwealth University Massey Cancer Center, Richmond, VA
| | | | | | - Hope S. Rugo
- University of California San Francisco Comprehensive Cancer Center, San Francisco, CA
| | - Jens Bodo Huober
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Ulm, Ulm, Germany
| | - Mehra Golshan
- Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Priya Rastogi
- NSABP Foundation and University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | | | | | - Carsten Denkert
- Institute of Pathology, Charité-Universitätsmedizin, Berlin, Germany
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Zhang Y, Nock W, Asad S, Adams E, Singh J, Damicis A, Lustberg MB, Noonan A, Reinbolt R, Sardesai S, VanDeusen J, Wesolowski R, Williams N, Ramaswamy B, Stover DG. Abstract P3-07-08: Multi-omic predictor of rapid and late relapse in primary triple negative breast cancer. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p3-07-08] [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: Triple-negative breast cancer (TNBC) is a heterogeneous disease. Clinically, we observe three distinct TNBC outcomes: 1) rapid relapse (rrTNBC) characterized by aggressive drug resistant disease; 2) late relapse (lrTNBC) characterized by indolent or treatment responsive disease; and 3) no relapse (NoRTNBC). We hypothesized that distinct clinical and genomic features of primary tumors define rapid versus late relapse in TNBC.
Approach: Using three publicly-available datasets (METABRIC, TCGA, and a prior gene expression meta-analysis), we identified 455 patients diagnosed with primary TNBC with adequate follow-up to be characterized as rrTNBC (relapse or death within 2 years of diagnosis), lrTNBC (relapse or death more than 2 years after diagnosis), or NoRTNBC (no relapse/death with at least 5 years follow-up). We compiled basic clinical (n=455 patients) and primary tumor multi-omic data, including whole transcriptome (n=455), whole genome copy number (n=317), and mutation data for 171 cancer-related genes (n=317). We evaluated intrinsic subtypes (PAM50, TNBCtype), 125 gene expression signatures, CIBERSORT immune subsets, copy number, and mutation frequency.
Results: We first evaluated patients with relapse (rrTNBC+lrTNBC) vs. NoRTNBC. There was no significant difference in age, grade, stage at diagnosis, or PAM50 or TNBC subtype proportion between relapse and NoRTNBC. Among 125 expression signatures, five immune signatures were significantly higher in NoRTNBCs (FDR p<0.05) suggesting increased immune activity in patients who do not relapse. Using CIBERSORT inferred immune subsets, anti-tumor CD8 T-cell, M1 macrophage, and gamma-delta T-cell subsets were all highly correlated to these immune signatures (all Pearson's r >= 0.3, all p<1.2e-8). Among genomic features, patients who relapsed were significantly more likely to harbor a mutation in PIK3CA (Fisher exact FDR p=0.02) but there was no significant difference in tumor mutation burden or percent genome altered (Student's t-test p=0.83 and p=0.99, respectively). We then evaluated primary TNBC genomic data in patients who ultimately developed rapid vs. late relapse. Patients with rrTNBC were more likely to be higher stage (p<0.0001) while lrTNBC were more likely to be non-basal PAM50 subtype (p=0.03). Among 11 significantly altered gene expression signatures (FDR p<0.05), 6 estrogen/luminal signatures were significantly higher in lrTNBC. Mutations in DNAH11 and PIK3CA were more common in lrTNBC (Fisher exact FDR p=0.04 and p=0.05, respectively) but there were no significant differences in tumor mutation burden or copy number burden (Student's t-test p=0.13 and p=0.45, respectively). Using 317 cases with full genomic data divided into training and validation datasets, we will report a comparison of machine learning models for predicting relapse versus no relapse and rapid versus late relapse.
Conclusions: Primary TNBC tumors destined for rapid, late, or no relapse reflect distinct genomic features. Anti-tumor immune signatures and subsets are enriched in patients who do not relapse yet no difference in mutational or copy number burden. Relative to rapid relapse TNBCs, late relapse TNBCs are enriched for non-basal tumors, estrogen/luminal expression signatures, and mutations in DNAH11 and PIK3CA.
Citation Format: Zhang Y, Nock W, Asad S, Adams E, Singh J, Damicis A, Lustberg MB, Noonan A, Reinbolt R, Sardesai S, VanDeusen J, Wesolowski R, Williams N, Ramaswamy B, Stover DG. Multi-omic predictor of rapid and late relapse in primary triple negative breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-07-08.
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Affiliation(s)
- Y Zhang
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - W Nock
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - S Asad
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - E Adams
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - J Singh
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - A Damicis
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - MB Lustberg
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - A Noonan
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - R Reinbolt
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - S Sardesai
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - J VanDeusen
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - R Wesolowski
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - N Williams
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - B Ramaswamy
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
| | - DG Stover
- Ohio State University Comprehensive Cancer Center, Columbus, OH; Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH
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Damicis A, Heng YJ, Kensler K, Asad S, Adams E, Singh J, Zhang Y, Nock W, Wesolowski R, Williams N, Reinbolt R, Sardesai S, VanDeusen J, Noonan A, Lustberg MB, Ramaswamy B, Eliassen AH, Hankinson SE, Tamimi R, Stover DG. Abstract P1-09-01: CD8+ T-cell gene expression and signatures in breast cancer and adjacent normal breast tissue: Association with body mass index, alcohol intake, and age at diagnosis. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-09-01] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: Our understanding of mediators of immune infiltration in breast cancer and normal breast tissue remains limited. We hypothesize that patient factors known to be associated with inflammation and immune subsets, including body mass index, alcohol intake, and age and diagnosis, may play an important role in the tumor-immune microenvironment. Analyses of immune gene expression and signatures facilitate interrogation of the immune microenvironment in large patient cohorts.
Methods: Participants from the Nurses' Health Study cohorts I and II diagnosed with invasive breast cancer were included. Total RNA extracted and microarray performed for 882 tumor and 695 tumor-adjacent samples, of which 623 tumors have matched tumor-adjacent data. CD8+ T-cell expression metrics were assessed: CD8A single gene expression (CD8Agene), a CD8 T-cell signature (CD8sig), and a tumor infiltrating lymphocyte signature derived from the GeparSixto clinical trial (GSAct). Standard clinicopathologic features were evaluated, as well as body mass index (BMI) one year prior to diagnosis, cumulative average alcohol intake, and age at diagnosis.
Results: Overall, tumor and adjacent normal tissue demonstrated positive correlation of CD8Agene, CD8sig, and GSAct (n=623 pairs, Pearson's r = 0.46, 0.36, 0.31, respectively; all p<0.001). Similar correlations were present in TCGA breast cancer, an independent cohort (n=112 pairs, Pearson's r = 0.34, 0.17, 0.45, respectively; all p<0.001). We evaluated paired tumor and adjacent normal samples within individual immunohistochemical (IHC) subtype or PAM50 subtype by Wilcoxon signed-rank test. There was not a consistent trend for CD8Agene, CD8sig, nor GSAct to be greater in tumor or normal within subtypes. We then evaluated patient features/exposures and tumor immune expression metrics. For tumor-adjacent normal, there was no significant association of alcohol intake, BMI, or age at diagnosis with CD8 gene/expression metrics. For tumor tissue, a multivariate model demonstrated that BMI one year before diagnosis was significantly associated with CD8Agene expression. There was no significant association of alcohol intake or age at diagnosis with CD8 gene/expression metrics. We are currently evaluating the association of these CD8 T-cell gene expression signatures with CD8 T-cell immunohistochemistry in a subset of patients, which will be reported at the time of abstract presentation.
Conclusion: In this cohort of over 600 tumor:normal pairs and a separate validation cohort, multiple distinct CD8+ T-cell expression metrics are correlated between breast cancer and tumor-adjacent normal breast tissue. This suggests that the adjacent normal breast may reflect an altered immune microenvironment in the context of breast cancer. While age at diagnosis and alcohol intake are not significantly associated with tumor CD8 expression metrics, BMI was significantly associated with tumor CD8Agene expression in a multivariate model.
Citation Format: Damicis A, Heng YJ, Kensler K, Asad S, Adams E, Singh J, Zhang Y, Nock W, Wesolowski R, Williams N, Reinbolt R, Sardesai S, VanDeusen J, Noonan A, Lustberg MB, Ramaswamy B, Eliassen AH, Hankinson SE, Tamimi R, Stover DG. CD8+ T-cell gene expression and signatures in breast cancer and adjacent normal breast tissue: Association with body mass index, alcohol intake, and age at diagnosis [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-09-01.
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Affiliation(s)
- A Damicis
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - YJ Heng
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - K Kensler
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - S Asad
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - E Adams
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - J Singh
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - Y Zhang
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - W Nock
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - R Wesolowski
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - N Williams
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - R Reinbolt
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - S Sardesai
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - J VanDeusen
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - A Noonan
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - MB Lustberg
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - B Ramaswamy
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - AH Eliassen
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - SE Hankinson
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - R Tamimi
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
| | - DG Stover
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Beth Israel Deaconess Medical Center, Boston, MA; Harvard T.H. Chan School of Public Health, Boston, MA; University of Massachusetts Amherst, Amherst, MA
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Singh J, Asad S, Nock W, Zhang Y, Adams E, Damicis A, Parsons HA, Adalsteinsson VA, Winer EP, Lin NU, Partridge AH, Overmoyer B, Stover DG. Abstract P4-01-17: Aggressive subgroups of metastatic triple-negative breast cancer: Inflammatory breast cancer and young patients in the Dana-Farber cell-free DNA cohort. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p4-01-17] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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: Relative to other metastatic breast cancer subtypes, metastatic triple-negative breast cancer (mTNBC) has a shorter duration of response to therapy and worse overall survival. Within mTNBCs, there is a prevailing belief that inflammatory breast cancer and young women tend to have among the most aggressive phenotypes. We investigated clinical and cell-free DNA (cfDNA) characteristics of inflammatory-mTNBC and young-mTNBC. We hypothesized that inflammatory-mTNBC may have distinct clinical and cfDNA characteristics, offering potential novel biomarker and therapeutic strategies.
Methods: 164 patients from the Dana-Farber metastatic triple-negative cell-free DNA cohort (Stover DG, et al J Clin Oncol 2018) were included in this secondary analysis. Patients were stratified into three groups: 1) inflammatory breast cancer ('IBC'); 2) non-IBC patients aged 45 years (yr) or younger at primary diagnosis ('non-IBC young'); and 3) non-IBC patients over age 45 yr at diagnosis. For each subset population, we evaluated clinicopathologic characteristics, sites of metastasis, survival outcomes, and cfDNA 'tumor fraction' – the fraction of DNA in circulation derived from tumor. Those patients with adequate cfDNA tumor content for high confidence copy number calls (n=101) were included in an analysis of copy number alterations.
Results: Among 164 patients with metastatic TNBC, 13.4% (22/164) had IBC, 37.8% (62/164) were non-IBC young, and 48.8% (80/164) were non-IBC and over 45 yr. Race and primary receptor status were similar. IBC patients were diagnosed at a higher stage (Chi-square p=0.0009) while non-IBC young patients were significantly more likely to harbor a BRCA mutation (Chi-square p=0.03). Analysis of metastatic sites revealed that IBC patients had significantly greater frequency of ipsilateral and contralateral breast chest wall recurrences (p=0.04 and p=0.046, respectively) while non-IBC young patients had the most frequent lung metastases (p=0.002). There were no significant differences in frequency of bone, brain, or liver metastases. cfDNA analyses showed that cfDNA 'tumor fraction' was highest in non-IBC young patients (ANOVA p=0.03 for maximum tumor fraction). Median overall survival from metastatic diagnosis was 22.9 months. IBC and non-IBC young patients had a worse prognosis relative to non-IBC patients over 45 yr (hazard ratio IBC=1.97, 95% CI 1.09-3.57; HR non-IBC young=1.60 95% CI 1.07-2.41; log-rank p=0.023). By subgroup, median overall survival from metastatic diagnosis for IBC was 15.2 months, non-IBC young 21.2 months, and non-IBC over 45 yr 31.2 months. Analyses of genome-wide copy number alterations from cell-free DNA will be presented.
Conclusions: Among metastatic TNBCs, IBC patients and non-IBC young patients have a significantly worse overall survival compared with non-IBC patients over 45 yr of age. Young patients have more frequent lung metastases and higher 'tumor fraction' of cfDNA. Confirmation of the reported findings is limited due to cohort size and may reflect referral bias.
Citation Format: Singh J, Asad S, Nock W, Zhang Y, Adams E, Damicis A, Parsons HA, Adalsteinsson VA, Winer EP, Lin NU, Partridge AH, Overmoyer B, Stover DG. Aggressive subgroups of metastatic triple-negative breast cancer: Inflammatory breast cancer and young patients in the Dana-Farber cell-free DNA cohort [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-01-17.
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Affiliation(s)
- J Singh
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - S Asad
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - W Nock
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - Y Zhang
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - E Adams
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - A Damicis
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - HA Parsons
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - VA Adalsteinsson
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - EP Winer
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - NU Lin
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - AH Partridge
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - B Overmoyer
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
| | - DG Stover
- Ohio State University Stefanie Spielman Comprehensive Breast Center, Columbus, OH; Dana-Farber Cancer Institute, Boston, MA; Broad Institute of MIT and Harvard, Boston, MA
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Saigle V, Asad S, Presseau J, Chassé M, McIntyre L, English SW. Do patient-reported outcome measures for SAH include patient, family, and caregiver priorities? A scoping review. Neurology 2019; 92:281-295. [PMID: 30626652 DOI: 10.1212/wnl.0000000000006883] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 10/03/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To systematically describe literature that identified patient/family/caregiver priorities for subarachnoid hemorrhage (SAH)-specific patient-reported outcome measures (PROMs), developed novel SAH PROMs by incorporating patient/family/caregiver perspectives, or involved patient/family/caregiver perspectives in evaluating existing SAH PROMs. METHODS We conducted a scoping review using Embase and Ovid MEDLINE from inception to February 6, 2018. Study eligibility and data extraction was performed independently and in duplicate. For each eligible citation, we abstracted information about study population, design, type of patient involvement, and outcome measures. We planned a descriptive summary of all included studies. RESULTS Our search yielded 4,961 citations, of which 15 met our eligibility criteria. Four of these included duplicate data, so our final sample consisted of 12 articles. There were 879 patients with SAH and 241 carers from the 11/12 articles that reported these data. One additional study involved 70 individuals but did not specify the number of carers or patients. We did not find any studies where SAH survivors or their families were directly involved in the full continuum of PROM outcome conceptualization from development to evaluation. We found 41 measures identified by patients with SAH. We identified only 2 PROMs developed with patients and only one that was a post hoc evaluation by patients. These 3 PROMs are subarachnoid hemorrhage outcome tool, Wessex Patient Carer Questionnaire, and Functional Status Examination, respectively. CONCLUSION We identified 3 PROMs that have involved patients in some way, but the extent to which they reflect patient priorities remains unclear. More work is needed to ensure SAH research is not overlooking outcomes that are important to patients.
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Affiliation(s)
- Victoria Saigle
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada
| | - Sarah Asad
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada
| | - Justin Presseau
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada
| | - Michaël Chassé
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada
| | - Lauralyn McIntyre
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada
| | - Shane W English
- From the Clinical Epidemiology Program (Centre for Transfusion Research) (V.S., S.A., L.M., S.W.E.), Ottawa Hospital Research Institute (J.P.); School of Epidemiology and Public Health (J.P., S.W.E.) and Department of Medicine (Critical Care) (S.W.E., L.M.), University of Ottawa; and Department of Medicine (Critical Care) (M.C.), University of Montreal Hospital, Canada.
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Asad S, Hebert C, Andridge R, Nguyen N, Gallo MF. Changes in the use of effective and long-acting reversible contraception in Vietnam. Contraception 2018; 99:165-169. [PMID: 30503505 DOI: 10.1016/j.contraception.2018.11.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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: 07/10/2018] [Revised: 11/15/2018] [Accepted: 11/15/2018] [Indexed: 10/27/2022]
Abstract
OBJECTIVES To calculate the prevalence and identify correlates of unmet need for contraception and to assess whether prevalence of use of effective contraception and long-acting reversible contraception (LARC) has changed over time among married or cohabiting, reproductive-age women in Vietnam. METHODS Study population was drawn from nationally representative Multiple Indicator Cluster Surveys conducted in 2000, 2006, 2011 and 2014. Unmet need for contraception was defined as occurring when a fecund, married or cohabiting woman is not using any method of contraception but either does not want children or wants to delay birth for at least 1 year or until marriage. Following the ranking of method effectiveness by the Centers for Disease Control and Prevention, we defined "effective contraception" as implant, intrauterine device, male and female sterilization, injectable, pill, patch, ring or diaphragm. We used multivariable logistic regression to identify correlates of unmet need for contraception in 2014 and Cochran-Armitage trend tests to assess changes in effective contraception and LARC use from 2000 to 2014. All analyses used survey weights to account for the complex sampling design. RESULTS In 2014, 4.3% of married or cohabiting, reproductive-age women had unmet need for contraception. Multivariable analysis showed that age, education and number of children ever born were statistically significant correlates of unmet need for contraception. Use of effective contraception statistically significantly declined from 53.0% in 2000 to 45.7% in 2014 (p<.0001). Similarly, LARC declined from 39.6% in 2000 to 30.0% in 2014 (p<.0001). After adjusting for age, education, residence and having at least one son, these secular trends remained. CONCLUSION Findings indicate that effective contraception and LARC use have decreased among married or cohabiting women of reproductive age in Vietnam. Correlates of unmet need for contraception should be used to inform interventions to prevent unintended pregnancy. IMPLICATIONS Although the prevalence of unmet need for contraception was low (4.3%) in 2014, the use of effective contraception and long-acting reversible contraception declined among reproductive-age, married or cohabiting women in Vietnam from 2000 to 2014. This finding is particularly striking given the economic growth in the nation during this time frame.
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Affiliation(s)
- Sarah Asad
- The Ohio State University (OSU), College of Public Health (CPH), Division of Epidemiology, Cunz Hall, 1841 Neil Avenue, Columbus, OH, 43210, USA
| | - Courtney Hebert
- OSU, College of Medicine, Department of Biomedical Informatics, 250 Lincoln Tower, 1800 Cannon Drive, Columbus, OH, 43210, USA
| | - Rebecca Andridge
- OSU, CPH, Division of Biostatistics, Cunz Hall, 1841 Neil Avenue, Columbus, OH, 43210, USA
| | - Nghia Nguyen
- Department of Obstetrics and Gynecology, Vinmec International Hospital, 458 Minh Khai, Hanoi, Vietnam
| | - Maria F Gallo
- The Ohio State University (OSU), College of Public Health (CPH), Division of Epidemiology, Cunz Hall, 1841 Neil Avenue, Columbus, OH, 43210, USA.
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Osei-Amo S, Hussein M, Asad S, Hugo L, Asgari S. Wolbachia-induced transcription factor GATA4 suppresses ovary-specific genes blastoderm-specific protein 25D and imaginal disc growth factor. Insect Mol Biol 2018; 27:295-304. [PMID: 29336504 DOI: 10.1111/imb.12371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The endosymbiotic bacterium Wolbachia infects a wide array of insect hosts and has been implicated in a range of biological modifications as a consequence of its infection. Previously, it was shown that the transcription factor GATA4 was significantly induced in Wolbachia wMelPop-CLA strain infected Aedes aegypti whole mosquitoes and cells. Here, we provide evidence that this induction also occurs in mosquito ovaries where the ovary-specific genes blastoderm-specific protein 25D (Bsg25D) and imaginal disc growth factor (Disc) are suppressed by Wolbachia. We further demonstrate that transcriptional depletion of GATA4 results in upregulation of both genes and conversely its overexpression leads to downregulation of the genes, suggesting that Wolbachia-induced GATA4 plays a suppressive regulatory role with regards to Bsg25D and Disc expression in mosquito ovaries. When the Disc gene was silenced in mosquitoes, we did not observe any difference in the number of mature ovarian follicles developed between treatment groups. However, we did find a significant delay in the hatching of eggs that had been laid by Disc knockdown mosquitoes.
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Affiliation(s)
- S Osei-Amo
- Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - M Hussein
- Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - S Asad
- Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - L Hugo
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - S Asgari
- Australian Infectious Disease Research Centre, School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia
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Guillot M, Asad S, Presseau J, Lalu MM, Lemyre B, Thébaud B. ARE CANADIAN NEONATOLOGISTS READY FOR A STEM CELL TRIAL FOR BRONCHOPULMONARY DYSPLASIA? Paediatr Child Health 2018. [DOI: 10.1093/pch/pxy054.057] [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: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Pre-clinical studies support the role of stem cells in preventing bronchopulmonary dysplasia (BPD), a chronic lung disease of prematurity. We are planning the first Canadian clinical trial of stem cell therapy for BPD.
OBJECTIVES
To ensure successful bench-to-bedside translation, the objective of our study was to identify the barriers and enablers that may influence neonatologists’ decision to identify extremely preterm infants at risk of BPD for participation in a stem cell trial for BPD.
DESIGN/METHODS
Semi-structured interviews were conducted with neonatologists across Canada. We used the Theoretical Domains Framework (TDF) to develop an interview topic guide covering 14 key domains that influence behavior (e.g. knowledge, intentions, goals, social influences). Two independent researchers used directed content analysis (using qualitative software NVIVO 11) to assign utterances to TDF thematic domains. We further identified sub-themes within domains to identify key barriers and enablers to neonatologists identifying infants for the planned trial.
RESULTS
Sixteen interviews were conducted with neonatologists across Canada (Western Canada n=7, Central Canada n=7, Eastern Canada n=2). Seven were practicing as a neonatologist for 10 years or less, 5 for 11–20 years and 4 for >20 years. Preliminary analyses demonstrated that neonatologists are eager to help identify patients for this study due to the importance they place on trying to treat BPD. Many participants had worries concerning the lack of evidence on long-term outcomes of stem cell therapy. Access to clear protocols, well defined eligibility criteria, and research assistants were brought up as key facilitators for screening patients. The most commonly reported barrier included the need for human resources (e.g. research assistants), funding, and institutional support to help screen patients.
CONCLUSION
Our interviews identified facilitators and barriers from a neonatologist perspective to a potential stem cells trial for BPD. Our findings will inform the design of a phase I/II clinical trial.
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Chow AJ, Fergusson DA, Seely D, Young S, Pitman A, Ennis J, Asad S, Presseau J. Personal goals of women recently diagnosed with breast cancer: Protocol for a cohort study. UOJM 2017. [DOI: 10.18192/uojm.v7i2.2138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Objectives: This study aims to identify the personal goals of women with breast cancer, to describe the characteristics of partici- pants’ personal goals over four months, and to identify barriers and facilitators to their pursuit.Methods: This protocol outlines plans to conduct a prospective cohort study. We will recruit women participating in the Ottawa In- tegrative Cancer Centre’s Head Start program (an integrative oncology psychoeducational program in Ottawa, Canada), and those on the program’s waiting list if possible. We anticipate a sample size of approximately 18 to 36 women. Prior to the beginning of Head Start, participants will identify their current personal goals and rate them on various dimensions on a questionnaire. At one and three months, participants will re-assess their goals and their goal pursuit. In a one-on-one interview at three months, they will identify barriers and facilitators to the pursuit of their goals. We will analyze quantitative data using descriptive and inferential statistics, and qualitative data using thematic content analysis.Conclusion: Findings from this study will identify important information about the personal goals of women recently diagnosed with breast cancer that can help to support the process of positive goal adjustment and enhance support to these women. RésuméObjectifs : Cette étude vise à identifier les objectifs personnels des femmes atteintes d’un cancer du sein, à décrire les caractéristiques des objectifs personnels des participantes sur une période de quatre mois, et à identifier les obstacles et les facilitateurs à leur poursuite.Méthodes : Ce protocole décrit les plans pour mener une étude de cohorte prospective. Nous recruterons des femmes qui participeront au programme Head Start du Centre de cancérologie intégrative d’Ottawa (un programme psychopédagogique intégratif en oncologie à Ottawa, au Canada) et celles qui sont sur la liste d’attente du programme, si possible. Nous prévoyons un échantillon d’environ 18 à 36 femmes. Avant le début de Head Start, les participantes identifieront leurs objectifs personnels actuels et les noteront sur différentes dimensions dans un questionnaire. À un et trois mois, les participantes réévalueront leurs objectifs et la poursuite de leur objectif. Dans une entrevue individuelle à trois mois, elles identifieront les obstacles et les facilitateurs à la poursuite de leurs objectifs. Nous analyserons les données quantitatives à l’aide de statistiques descriptives et inférentielles, et les données qualitatives à l’aide d’analyses de contenu thématiques. Conclusion : Les résultats de cette étude permettront d’identifier des informations importantes sur les objectifs personnels des femmes récemment diagnostiquées avec un cancer du sein qui peuvent aider à soutenir le processus d’ajustement positif des objectifs et améliorer le soutien à ces femmes.
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Asad S, Chreim S. Peer Support Providers' Role Experiences on Interprofessional Mental Health Care Teams: A Qualitative Study. Community Ment Health J 2016; 52:767-74. [PMID: 26620369 DOI: 10.1007/s10597-015-9970-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2015] [Accepted: 11/13/2015] [Indexed: 10/22/2022]
Abstract
This study explores how peer support providers' roles are defined and integrated in inter-professional mental health care teams, and how these providers relate to other practitioners and clients. Interviews were conducted with peer support providers in two different formal models of peer support employment. Qualitative data analysis was undertaken. The findings indicate that: peer support providers experience ambiguity and that some ambiguity may offer benefits; peer support providers enhance team acceptance of their role through several means and strategies; setting boundaries with clients is a delicate issue that requires several considerations that we discuss.
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Affiliation(s)
- Sarah Asad
- Telfer School of Management, University of Ottawa, 55 Laurier Avenue, Ottawa, ON, Canada.
| | - Samia Chreim
- Telfer School of Management, University of Ottawa, 55 Laurier Avenue, Ottawa, ON, Canada
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Asad S, Winge M, Wahlgren CF, Bilcha K, Nordenskjöld M, Taylan F, Bradley M. The tight junction gene Claudin-1 is associated with atopic dermatitis among Ethiopians. J Eur Acad Dermatol Venereol 2016; 30:1939-1941. [DOI: 10.1111/jdv.13806] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Accepted: 04/18/2016] [Indexed: 11/27/2022]
Affiliation(s)
- S. Asad
- Department of Molecular Medicine & Surgery and the Center for Molecular Medicine; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
| | - M.C.G. Winge
- Program in Epithelial Biology; Stanford University School of Medicine; Stanford CA USA
| | - C.-F. Wahlgren
- Dermatology Unit; Department of Medicine Solna; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
| | - K.D. Bilcha
- Department of Dermatovenereology; Faculty of Medicine; Gondar University; Gondar Ethiopia
| | - M. Nordenskjöld
- Department of Molecular Medicine & Surgery and the Center for Molecular Medicine; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
| | - F. Taylan
- Department of Molecular Medicine & Surgery and the Center for Molecular Medicine; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
| | - M. Bradley
- Department of Molecular Medicine & Surgery and the Center for Molecular Medicine; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
- Dermatology Unit; Department of Medicine Solna; Karolinska Institutet; Karolinska University Hospital Solna; Stockholm Sweden
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Pandey A, Forte V, Abdallah M, Alickaj A, Mahmud S, Asad S, McFarlane SI. Diabetes mellitus and the risk of cancer. MINERVA ENDOCRINOL 2011; 36:187-209. [PMID: 22019750] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Although diabetes has been known to increase the risk of cancer for over a century, it was not until recently when this area gained momentum and generated a lot of interest. That is in- part because of the rising global diabetes epidemic and the wide spread use of insulin analogues, metformin and other anti-diabetic agents, providing hypothesis generating data on the cancer risk in the diabetic population. Type 2 diabetes is associated with increased risk of breast, colon, pancreatic and other types of cancer, while type 1 diabetes is associated with increase in stomach, pancreatic, endometrial and cervical cancer. Mechanisms postulated for increased cancer risk in diabetes include hyperglycemia, hyperinsulinemia with stimulation of IGF-1 axis, obesity that serves as a common soil hypothesis for both cancer and diabetes as well as other factors such as increased cytokine production. More recently some antidiabetic agents have been thought to increase cancer risk such as insulin glargine, while metformin appears to lower cancer risk. In this review, we present the evidence for the link between diabetes and cancer highlighting the general mechanisms proposed for such a link as well as specific hypotheses for individual cancer. We will also discuss the role of insulin, metformin and other antidiabetic agents in cancer risk.
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Affiliation(s)
- A Pandey
- Department of Medicine, SUNY Downstate Medical Centre, New York, USA
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Arif M, Azhar U, Arshad M, Zafar Y, Mansoor S, Asad S. Engineering broad-spectrum resistance against RNA viruses in potato. Transgenic Res 2011; 21:303-11. [PMID: 21701953 DOI: 10.1007/s11248-011-9533-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2010] [Accepted: 06/15/2011] [Indexed: 10/18/2022]
Abstract
RNA silencing technology has become the tool of choice for inducing resistance against viruses in plants. A significant discovery of this technology is that double-stranded RNA (dsRNA), which is diced into small interfering RNAs (siRNAs), is a potent trigger for RNA silencing. By exploiting this phenomenon in transgenic plants, it is possible to confer high level of virus resistance by specific targeting of cognate viral RNA. In order to maximize the efficiency and versatility of the vector-based siRNA approach, we have constructed a chimeric expression vector containing three partial gene sequences derived from the ORF2 gene of Potato virus X, Helper Component Protease gene of Potato virus Y and Coat protein gene of Potato leaf roll virus. Solanum tuberosum cv. Desiree and Kuroda were transformed with this chimeric gene cassette via Agrobacterium tumefaciens-mediated transformation and transgenic status was confirmed by PCR, Southern and double antibody sandwich ELISA detection. Due to simultaneous RNA silencing, as demonstrated by accumulation of specific siRNAs, the expression of partial triple-gene sequence cassette depicted 20% of the transgenic plants are immune against all three viruses. Thus, expression of a single transgene construct can effectively confer resistance to multiple viruses in transgenic plants.
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Affiliation(s)
- M Arif
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
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Abstract
AIMS To test the association between the immunoreceptor PD-1 (PDCD1) gene and Type 1 diabetes mellitus (T1DM). This gene has been reported to be associated with other autoimmune diseases such as systemic lupus erythematosus (SLE) as well as T1DM. METHODS Genotyping of single nucleotide polymorphisms (SNPs) in the PDCD1 gene was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), pyrosequencing and TaqMan in two separate cohorts of Swedish patients and control subjects: a family study consisting of 184 multiplex and eight simplex families and a case-control study consisting of 586 patients and 836 control subjects. Three SNPs were genotyped: PD-1 7146, PD-1 7785 and PD-1 8738. RESULTS We did not detect any association or linkage between SNPs in PDCD1 and T1DM. We further performed a meta-analysis for association of PD-1 7146, PD-1 7785 and PD-1 8738 to T1DM. We detected heterogeneity in association with weak evidence for overall association. CONCLUSIONS We conclude that PDCD1 is unlikely to be a major susceptibility gene for T1DM.
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Affiliation(s)
- S Asad
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
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Dastgheib SMM, Amoozegar MA, Elahi E, Asad S, Banat IM. Bioemulsifier production by a halothermophilic Bacillus strain with potential applications in microbially enhanced oil recovery. Biotechnol Lett 2007; 30:263-70. [PMID: 17876532 DOI: 10.1007/s10529-007-9530-3] [Citation(s) in RCA: 69] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2007] [Accepted: 08/30/2007] [Indexed: 10/22/2022]
Abstract
A halothermotolerant Gram-positive spore-forming bacterium was isolated from petroleum reservoirs in Iran and identified as Bacillus licheniformis sp. strain ACO1 by phenotypic characterization and 16S rRNA analysis. It showed a high capacity for bioemulsifier production and grew up to 60 degrees C with NaCl at 180 g l(-1). The optimum NaCl concentration, pH and temperature for bioemulsifier production were 4% (w/v), 8.0, and 45 degrees C, respectively. Although ACO1 did not utilize hydrocarbons, it had a high emulsifying activity (E (24) = 65 +/- 5%) on different hydrophobic substrates. Emulsification was optimal while growing on yeast extract as the sole carbon source and NaNO(3) as the nitrogen source. The efficiency of the residual oil recovery increased by 22% after in situ growth of B. licheniformis ACO1 in a sand-pack model saturated with liquid paraffin.
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Affiliation(s)
- S M M Dastgheib
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
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Asad S, Amoozegar MA, Pourbabaee AA, Sarbolouki MN, Dastgheib SMM. Decolorization of textile azo dyes by newly isolated halophilic and halotolerant bacteria. Bioresour Technol 2007; 98:2082-8. [PMID: 17055263 DOI: 10.1016/j.biortech.2006.08.020] [Citation(s) in RCA: 184] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2006] [Revised: 08/14/2006] [Accepted: 08/17/2006] [Indexed: 05/12/2023]
Abstract
Studies were carried out on the decolorization of textile azo dyes by newly isolated halophilic and halotolerant bacteria. Among the 27 strains of halophilic and halotolerant bacteria isolated from effluents of textile industries, three showed remarkable ability in decolorizing the widely utilized azo dyes. Phenotypic characterization and phylogenetic analysis based on 16S rDNA sequence comparisons indicate that these strains belonged to the genus Halomonas. The three strains were able to decolorize azo dyes in a wide range of NaCl concentration (up to 20%w/v), temperature (25-40 degrees C), and pH (5-11) after 4 days of incubation in static culture. They could decolorize the mixture of dyes as well as pure dyes. These strains also readily grew in and decolorized the high concentrations of dye (5000 ppm) and could tolerate up to 10,000 ppm of the dye. UV-Vis analyses before and after decolorization and the colorless bacterial biomass after decolorization suggested that decolorization was due to biodegradation, rather than inactive surface adsorption. Analytical studies based on HPLC showed that the principal decolorization was reduction of the azo bond, followed by cleavage of the reduced bond.
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Affiliation(s)
- S Asad
- Department of Biotechnology, School of Biology, University College of Science, University of Tehran, Tehran, Iran
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