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Wolf J, Lourenco A, Alpers J, Rohatgi N, Constantini C, Hollingsworth A, Grobmyer S, Pederson H, Haythem A, Polen W, Northfelt D, Morris M, Baker K, Ghosh K, Kass F, Arterbery E, Yang R, Tran Q, Letsios E, Mulpuri R, Reese DE. Abstract P1-02-08: Provista-002: A prospective, multi-center study to determine the effectiveness of a biomarker assay to distinguish benign from invasive breast cancer in women with BI-RADS 3, 4 and 5 imaging reports. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p1-02-08] [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
This abstract was not presented at the symposium.
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Affiliation(s)
- J Wolf
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - A Lourenco
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - J Alpers
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - N Rohatgi
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - C Constantini
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - A Hollingsworth
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - S Grobmyer
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - H Pederson
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - A Haythem
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - W Polen
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - D Northfelt
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - M Morris
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - K Baker
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - K Ghosh
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - F Kass
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - E Arterbery
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - R Yang
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - Q Tran
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - E Letsios
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - R Mulpuri
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
| | - DE Reese
- Rhode Island Hospital; Avera Cancer Institute; Sutter Institute; Scripps; Provista Diagnostics; Mercy Women's Hospital; Cleveland Clinic; Henry Ford Health System; Summit Medical Group New Jersey; Mayo Clinic; Banner Research Institute; St. Joseph's Hospital; Sansum Clinic; St. Mary's of Michigan; Lahey Clinic
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Reese DE, Lourenco A, Mulpuri R, Borman S, Benson K, Alpers J, Silver M. Abstract P5-02-02: The final study report on the performance of Klarify™. Assessment of full data set from NCT01839045 a 6-month liquid biopsy panel run in women under the age of 50 that were initially assessed as a high risk population. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p5-02-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The precise diagnosis of breast lesions represents a significant problem in women under the age of 50, especially given the high prevalence of confounding factors such as dense breast. No new approaches have been developed to augment standard of care in the more precise detection of breast cancer. The combination of breast imaging with a robust protein signature that would detect biochemical cues of breast cancer offers a potentially attractive approach to detection regardless of the quality of the radiographic evidence. We have recently tested a protein signature (KARIFY BREAST™) composed of immune-regulatory cytokines, growth factors and tumor-associated autoantibodies (TAAbs). Here, we confirm the hypothesis that this protein signature, combined with standard of care can increase the precision of the diagnosis of breast cancer in women under the age of 50. We have tested this method in a prospective study of 351 women at 8 centers across the US in a randomized and blinded manner. Presented is both data from the initial blood draw and results of the six-month follow up blood draw. The achievement of 93% sensitivity and greater than a 80 percent specificity was demonstrated.
Methods: Provista-001 enrolled 351 patients from 9 sites across the US and will follow patients for 6 months prior to first blood draw under IRB approval. Upon enrollment, patients were randomized to either training or validation groups. Clinical truth was set at equal to or greater than 80% sensitivity/specificity. Serum protein biomarkers and autoantibodies identified in prior proteomic screens were measured prior to biopsy. Individual biomarker (25 serum protein biomarkers (SPB) and TAAbs) concentrations were measured , together with specific patient data were evaluated using various logistic regression models. Additionally, 200 patients were used as a training set to develop and refine new models, which were then validated in the remaining 151 subjects. Clinical findings were compared to biopsy (largely BIRADS 4) or were followed for 6 months and re-assessed (BIRADS 3).
The novel algorithm utilizing patient data, SPBs and TAAb concentrations and regression models were able to distinguish benign from breast cancer lesions in a statistically significant manner. Importantly, the SPBs alone were unable to adequately distinguish benign lesions, consistent with prior work. However, the addition of TAAbs markedly increased both the sensitivity (93%) and specificity (80.3%) of the assay in this group of women. The use of the algorithm in conjunction with imaging detected more lesions than imaging alone.
Our findings suggest that when used in combination, the protein signature developed here and breast imaging provides a more precise detection methodology than either alone. This is particularly important in women under the age of 50 where detection is difficult. The follow-up data at six months (BIRADS 3) have yielded additional data in this understudied group of women. Such as the apparent lack of effect of breast density on early detection when using the algorithm.
Citation Format: Reese DE, Lourenco A, Mulpuri R, Borman S, Benson K, Alpers J, Silver M. The final study report on the performance of Klarify™. Assessment of full data set from NCT01839045 a 6-month liquid biopsy panel run in women under the age of 50 that were initially assessed as a high risk population. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-02-02.
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Affiliation(s)
- DE Reese
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - A Lourenco
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - R Mulpuri
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - S Borman
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - K Benson
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - J Alpers
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
| | - M Silver
- Provista Diagnostics, NY, NY; Rhode Island Hospital, Providence, RI; Avera Cancer Institute, Sioux Falls, SD
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Heard A, Richards I, Alpers J. Does attendance at a general practice asthma clinic reduce asthma morbidity more than does standard medical treatment? West J Med 2000; 173:116. [PMID: 10924436 PMCID: PMC1071018 DOI: 10.1136/ewjm.173.2.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Crockett A, Cranston J, Moss J, Scown P, Mooney G, Alpers J. Program budgeting and marginal analysis: a case study in chronic airflow limitation. AUST HEALTH REV 2000; 22:65-77. [PMID: 10662234 DOI: 10.1071/ah990065] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Program budgeting and marginal analysis is a method of priority-setting in health care. This article describes how this method was applied to the management of a disease-specific group, chronic airflow limitation. A sub-program flow chart clarified the major cost drivers. After assessment of the technical efficiency of the sub-programs and careful and detailed analysis, incremental and decremental wish lists of activities were established. Program budgeting and marginal analysis provides a framework for rational resource allocation. The nurturing of a vigorous program management group, with members representing all participants in the process (including patients/consumers), is the key to a successful outcome.
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Affiliation(s)
- A Crockett
- Respiratory Unit, Flinders Medical Centre, Adelaide, South Australia
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Crockett A, Moss J, Alpers J. The continuing impact of home oxygen therapy for respiratory patients on a hospital budget. AUST HEALTH REV 1991; 15:259-68. [PMID: 10121778] [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: 02/11/2023]
Abstract
Home oxygen therapy for chronic lung disease is a prominent example of an increasing tendency for the provision of adaptive medical technologies by tertiary-level hospital outreach. Flinders Medical Centre has carefully monitored its home oxygen service using cost-centre management. Despite strict prescription criteria and cost-saving technological advance, this budget remains under continued pressure. Demand from eligible patients is increasing, and their enhanced survival means that numbers accumulate over the years. Unfortunately, long-term community support does not fit easily into conventional hospital budgetting. Hospitals at present do not explicitly record the benefits nor bring to account the cost savings from maintaining patients in the community. Several intermediate improvements are suggested.
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Affiliation(s)
- A Crockett
- Flinders Medical Centre, Bedford Park, SA
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Makover D, Cuddy M, Yum S, Bradley K, Alpers J, Sukhatme V, Reed JC. Phorbol ester-mediated inhibition of growth and regulation of proto-oncogene expression in the human T cell leukemia line JURKAT. Oncogene 1991; 6:455-60. [PMID: 2011401] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The expression and function of several proto-oncogenes were examined in a human acute T cell leukemia line, JURKAT, during phorbol ester-induced terminal differentiation. Treating JURKAT cells with the phorbol ester tetradecanoyl phorbol acetate (TPA) inhibited their proliferation and induced expression of the gene for the interleukin 2 receptor alpha chain (IL2R-alpha), consistent with previous reports. In unstimulated proliferating JURKAT cells, high levels of C-MYC, N-RAS, and BCL2 mRNAs were found that diminished rapidly following TPA-induced cessation of growth. In contrast, accumulation of mRNAs for the C-FOS, C-JUN, and EGR-1 genes increased markedly in TPA-treated cells and preceded the induction of IL2R-alpha mRNA. Expression of C-MYB, C-RAF-1, C-LCK, C-FYN, and C-FGR proto-oncogenes was relatively unchanged. To explore directly the function of two of these protooncogenes in regulating the growth of JURKAT T cells, we stably transferred C-MYC and BCL2 expression plasmids into these cells. Despite sustained expression of C-MYC, BCL2, or the combination of these protooncogenes, TPA continued to inhibit JURKAT cell growth and to induce IL2R expression. Thus, although C-MYC and BCL2 proto-oncogene expression correlated with proliferation in TPA-treated JURKAT cells, continuous over-expression of even the combination of these oncogenes was insufficient for abrogating the effects of TPA in these leukemic T cells. Because human lymphoid malignancies frequently contain chromosomal translocations that deregulate the expression of C-MYC and BCL2, our findings could have relevance for attempts to induce terminal differentiation of leukemic cells by in vitro exposure of patients' bone marrow cells to phorbol esters.
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Affiliation(s)
- D Makover
- Department of Internal Medicine, University of Pennsylvania, Philadelphia 19104
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Abstract
Fifteen asthmatic subjects participated in a double-blind trial comparing the protective effects of inhaled verapamil, salbutamol, and saline against inhaled histamine. Inhaling verapamil between four repeated histamine inhalation tests produced no significant protection against histamine-induced bronchoconstriction, while there was significant protection with salbutamol (p less than 0.001). Inhaling verapamil before a single inhalation test produced limited but significant protection (p less than 0.05) compared with a saline control in eight asthmatic subjects. This small protective effect in the two-treatment study of eight asthmatics suggests that either the protective effect of verapamil is variable among subjects or a preceding histamine inhalation test blocks the verapamil effect.
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