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Featured researches published by Laura J. Peek.


Tumor Biology | 2012

EarlyCDT®-Lung test: improved clinical utility through additional autoantibody assays

Caroline Chapman; Graham F. Healey; Andrea Murray; Peter Boyle; Chris Robertson; Laura J. Peek; Jared Allen; Alison Thorpe; Geoffrey Hamilton-Fairley; Celine B. Parsy-Kowalska; Isabel K. Macdonald; William Jewell; Paul Maddison; J.F.R. Robertson

Tumor-associated autoantibodies (AAbs) have been described in patients with lung cancer, and the EarlyCDT®-Lung test that measures such AAbs is available as an aid for the early detection of lung cancer in high-risk populations. Improvements in specificity would improve its cost-effectiveness, as well as reduce anxiety associated with false positive tests. Samples from 235 patients with newly diagnosed lung cancer and matched controls were measured for the presence of AAbs to a panel of six (p53, NY-ESO-1, CAGE, GBU4-5, Annexin I, and SOX2) or seven (p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, and MAGE A4) antigens. Data were assessed in relation to cancer type and stage. The sensitivity and specificity of these two panels were also compared in two prospective consecutive series of 776 and 836 individuals at an increased risk of developing lung cancer. The six-AAb panel gave a sensitivity of 39 % with a specificity of 89 %, while the seven-AAb panel gave a sensitivity of 41 % with a specificity of 91 % which, once adjusted for occult cancers in the population, resulted in a specificity of 93 %. Analysis of these AAb assays in the at-risk population confirmed that the seven-AAb panel resulted in a significant increase in the specificity of the test from 82 to 90 %, with no significant change in sensitivity. The change from a six- to a seven-AAb assay can improve the specificity of the test and would result in a PPV of 1 in 8 and an overall accuracy of 92 %.


Cancer Prevention Research | 2011

EarlyCDT-Lung: An Immunobiomarker Test as an Aid to Early Detection of Lung Cancer

Stephen Lam; Peter Boyle; Graham F. Healey; Paul Maddison; Laura J. Peek; Andrea Murray; Caroline Chapman; Jared Allen; William C. Wood; Herb F. Sewell; J.F.R. Robertson

Recent publications have reported the technical and clinical validation of EarlyCDT-Lung, an autoantibody test which detected elevated autoantibodies in 40% of lung cancers at diagnosis. This manuscript reports the results of EarlyCDT-Lung run on four new (postvalidation) data sets. The following four cohorts of patients (n = 574) with newly diagnosed lung cancer were identified: group 1 (n = 122), 100% small cell lung cancer (SCLC); group 2 (n = 249), 97% non-small cell lung cancer (NSCLC); group 3 (n = 122), 100% NSCLC; group 4 (n = 81), 62% NSCLC. Serum samples were obtained after diagnosis, prior to any anticancer treatment. Autoantibody levels were measured against a panel of six tumor-related antigens (p53, NY-ESO-1, CAGE, GBU4–5, Annexin 1, and SOX2) in the EarlyCDT-Lung panel and previously established cutoffs applied. In groups 2, 3, and 4, patients were individually matched by gender, age, and smoking history to a control individual with no history of malignant disease. Assay sensitivity was tested in relation to cancer type and stage, and in the matched normals to demographic variables. The autoantibody panel showed sensitivity/specificity of 57%/n.d (not done) for SCLC in group 1, 34%/87% for NSCLC in group 2, 31% and 84% for NSCLC in group 3, and 35%/89% for NSCLC and 43%/89% for SCLC in group 4. There was no significant difference in positivity of EarlyCDT-Lung and different lung cancer stages. These studies confirm the value of an autoantibody assay, EarlyCDT-Lung, as an aid to detecting lung cancer in patients at high risk of the disease. Cancer Prev Res; 4(7); 1126–34. ©2011 AACR.


Lung Cancer | 2014

Audit of the autoantibody test, EarlyCDT®-lung, in 1600 patients: an evaluation of its performance in routine clinical practice.

James R. Jett; Laura J. Peek; Lynn Fredericks; William Jewell; William W. Pingleton; J.F.R. Robertson

OBJECTIVES EarlyCDT(®)-Lung may enhance detection of early stage lung cancer by aiding physicians in assessing high-risk patients through measurement of biological markers (i.e., autoantibodies). The tests performance characteristics in routine clinical practice were evaluated by auditing clinical outcomes of 1613 US patients deemed at high risk for lung cancer by their physician, who ordered the EarlyCDT-Lung test for their patient. METHODS Clinical outcomes for all 1613 patients who provided HIPAA authorization are reported. Clinical data were collected from each patients treating physician. Pathology reports when available were reviewed for diagnostic classification. Staging was assessed on histology, otherwise on imaging. RESULTS Six month follow-up for the positives/negatives was 99%/93%. Sixty-one patients (4%) were identified with lung cancer, 25 of whom tested positive by EarlyCDT-Lung (sensitivity=41%). A positive EarlyCDT-Lung test on the current panel was associated with a 5.4-fold increase in lung cancer incidence versus a negative. Importantly, 57% (8/14) of non-small cell lung cancers detected as positive (where stage was known) were stage I or II. CONCLUSIONS EarlyCDT-Lung has been extensively tested and validated in case-control settings and has now been shown in this audit to perform in routine clinical practice as predicted. EarlyCDT-Lung may be a complementary tool to CT for detection of early lung cancer.


Journal of Thoracic Disease | 2013

Signal stratification of autoantibody levels in serum samples and its application to the early detection of lung cancer

Graham F. Healey; Stephen Lam; Peter Boyle; Geoffrey Hamilton-Fairley; Laura J. Peek; J.F.R. Robertson

BACKGROUND Further signal stratification for the EarlyCDT®-Lung test should facilitate interpretation of the test, leading to more precise interventions for particular patients. METHODS Samples were measured for the presence of autoantibodies to seven tumor-associated antigens (TAAs) (p53, NY-ESO-1, CAGE, GBU4-5, SOX2, MAGE A4, and HuD). In addition to the current test cut-offs (determined using a previously reported Validation case-control sample set, set A; n=501), new high and low cut-offs were set in order to maximize the tests positive and negative predictive values (PPV and NPV, respectively). All three sets of cut-offs were applied to two confirmatory datasets: (I) the case-control set B (n=751), and (II) Population-derived set C (n=883), and all three datasets combined (n=2,135). RESULTS For the Validation dataset, cancer/non-cancer positivity for current cut-offs was 41%/9% (PPV =0.109, 1 in 9). The high positive stratum improved this to 25%/2% (PPV =0.274, 1 in 4). The low negative stratum improved this to 8%/23% (NPV =0.990, 1 in 105). This provides a 25-fold difference in lung cancer probability between the highest and lowest groups. The test performs equally well in subjects who fulfilled the entry risk criteria for the National Lung Screening Trial (NLST) and subjects who did not meet the NLST criteria. CONCLUSIONS The EarlyCDT®-Lung test has been converted to a four-stratum test by the addition of high and low sets of cut-offs: patients are thus stratified into four risk categories. This stratification will enable personalization of subsequent screening and treatment programs for high risk individuals or patients with lung nodules.


Journal of Thoracic Oncology | 2017

Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer

Pierre P. Massion; Graham F. Healey; Laura J. Peek; Lynn Fredericks; Herb F. Sewell; Andrea Murray; J.F.R. Robertson

Introduction: The incidence of pulmonary nodules is increasing with the movement toward screening for lung cancer by low‐dose computed tomography. Given the large number of benign nodules detected by computed tomography, an adjunctive test capable of distinguishing malignant from benign nodules would benefit practitioners. The ability of the EarlyCDT‐Lung blood test (Oncimmune Ltd., Nottingham, United Kingdom) to make this distinction by measuring autoantibodies to seven tumor‐associated antigens was evaluated in a prospective registry. Methods: Of the members of a cohort of 1987 individuals with Health Insurance Portability and Accountability Act authorization, those with pulmonary nodules detected, imaging, and pathology reports were reviewed. All patients for whom a nodule was identified within 6 months of testing by EarlyCDT‐Lung were included. The additivity of the test to nodule size and nodule‐based risk models was explored. Results: A total of 451 patients (32%) had at least one nodule, leading to 296 eligible patients after exclusions, with a lung cancer prevalence of 25%. In 4‐ to 20‐mm nodules, a positive test result represented a greater than twofold increased relative risk for development of lung cancer as compared with a negative test result. Also, when the “both‐positive rule” for combining binary tests was used, adding EarlyCDT‐Lung to risk models improved diagnostic performance with high specificity (>92%) and positive predictive value (>70%). Conclusions: A positive autoantibody test result reflects a significant increased risk for malignancy in lung nodules 4 to 20 mm in largest diameter. These data confirm that EarlyCDT‐Lung may add value to the armamentarium of the practitioner in assessing the risk for malignancy in indeterminate pulmonary nodules.


Journal of Clinical Oncology | 2010

Use of serum autoantibodies to identify early-stage lung cancer.

Laura J. Peek; Stephen Lam; Graham F. Healey; Herbert Fritsche; Caroline Chapman; Andrea Murray; Paul Maddison; J.F.R. Robertson; William C. Wood


Journal of Thoracic Oncology | 2017

P2.13-013 Determination of the Detection Lead Time for Autoantibody Biomarkers in Early Stage Lung Cancer Using the UKCTOCS Cohort

J. Jett; Graham F. Healey; I. Macdonald; C. Parsy-Kowalska; Laura J. Peek; Andrea Murray


Chest | 2012

The Additive Effect of the Stratified EarlyCDT®-Lung Serum Autoantibody Test on the Assessment of Lung Cancer Risk

Graham F. Healey; Laura J. Peek; Lynn Fredericks; Geoffrey Hamilton-Fairley; J.F.R. Robertson


Journal of Clinical Oncology | 2010

Demographics of populations at high risk of lung cancer and results of the Early CDT-Lung test.

J. Mathew; Graham F. Healey; W. Jewell; Andrea Murray; Caroline Chapman; Laura J. Peek; A. Barnes; William C. Wood; J.F.R. Robertson; Peter Boyle


Chest | 2010

Antigen Positivity in the Early CDT-Lung Test by Stage and Histological Subtype of Lung Cancer

Peter Boyle; Stephen Lam; Paul Maddison; William C. Wood; Laura J. Peek; Andrea Murray; Caroline Chapman; Graham F. Healey; J.F.R. Robertson

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Andrea Murray

University of Nottingham

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Jared Allen

University of Nottingham

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Peter Boyle

University of Strathclyde

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