scholarly journals The Lifetime Economic Burden of Inaccurate HER2 Testing: Estimating the Costs of False-Positive and False-Negative HER2 Test Results in US Patients with Early-Stage Breast Cancer

2015 ◽  
Vol 18 (4) ◽  
pp. 541-546 ◽  
Author(s):  
Louis P. Garrison ◽  
Joseph B. Babigumira ◽  
Anthony Masaquel ◽  
Bruce C.M. Wang ◽  
Deepa Lalla ◽  
...  
2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6626-6626
Author(s):  
Louis Garrison ◽  
Joseph Babigumira ◽  
Anthony Masaquel ◽  
Bruce Wang ◽  
Deepa Lalla ◽  
...  

6626 Background: Trastuzumab is administered to patients with early breast cancer (EBC) whose tumors test positive for HER2 using IHC or FISH diagnostic tests. However, due to test characteristics and testing heterogeneity, patients may be misdiagnosed as false positive (FP) or false negative (FN). This analysis estimates the lifetime economic burden of inaccurate HER2 testing in the US. Methods: We developed a national-level economic model to estimate the impact on healthcare costs and quality-adjusted life years (QALYs) in both groups in 2012. The model estimates the expected number of FP and FN patients using literature-derived estimates of each test’s sensitivity, specificity, and utilization. Based on estimates from the literature, a FP patient would generate unneeded trastuzumab costs of about $56,000 and experience a chance (2.9%) of related cardiotoxicity; an FN patient would save $56,000 in trastuzumab costs, but lose 1.7 QALYs of life expectancy and face a greater likelihood of recurrence and associated costs ($42,000) to treat metastatic disease. A net monetary benefit approach (valuing healthy life years at $100,000) is used to compare the lifetime economic burden for FP and FN. Results: The estimated overall proportions of FP and FN are 2.8% and 2.2% of 227,000 EBC patients, resulting in about 6,400 and 5,000 women in each group, respectively. Overall, approximately 8600 QALYs would be lost among FN patients who do not receive trastuzumab. We estimate the incremental per-patient lifetime burden of an FP to be about $57,000, and for an FN to be about $118,000. The implied incremental loss to society for FPs is $362 million and for FNs is $596 million. Conclusions: Current testing practices and treatment patterns for HER2+ EBC patients result in misdiagnosis and non-optimal treatment in approximately 11,500 patients each year: the combined total economic loss to society is nearly $1 billion. The greater share of the loss is among FN patients who would have benefited from trastuzumab, but did not receive it. The significant annual burden of HER2 misdiagnosis suggests that substantial societal investments to improve HER2 test accuracy should be considered.


2017 ◽  
Vol 24 (2) ◽  
pp. 138
Author(s):  
M.A. O'Brien ◽  
S. Dhesy-Thind ◽  
C. Charles ◽  
M. Hammond Mobilio ◽  
N.B. Leighl ◽  
...  

Purpose Advances in personalized medicine have produced novel tests and treatment options for women with breast cancer. Relatively little is known about the process by which such tests are adopted into oncology practice. The objectives of the present study were to understand the experiences of medical oncologists with multigene expression profile (gep) tests, including their adoption into practice in early-stage breast cancer, and the perceptions of the oncologists about the influence of test results on treatment decision-making.Methods We conducted a qualitative descriptive study involving interviews with medical oncologists from academic and community cancer centres or hospitals in 8 communities in Ontario. A 21-gene breast cancer assay was used as the example of gep testing. Qualitative analytic techniques were used to identify the main themes.Results Of 28 oncologists who were approached, 21 (75%) participated in the study [median age: 43 years; 12 women (57%)]. Awareness and knowledge of gep testing were derived from several sources: international scientific meetings, participation in clinical studies, discussions with respected colleagues, and manufacturer-sponsored meetings. Oncologists observed that incorporating gep testing into their clinical practice resulted in several changes, including longer consultation times, second visits, and taking steps to minimize treatment delays. Oncologists expressed divergent opinions about the strength of evidence and added value of gep testing in guiding treatment decisions.Conclusions Incorporation of gep testing into clinical practice in early-stage breast cancer required oncologists to make changes to their usual routines. The opinions of oncologists about the quality of evidence underpinning the test affected how much weight they gave to test results in treatment decision-making.


The Breast ◽  
2019 ◽  
Vol 44 ◽  
pp. S105
Author(s):  
P. Chirappapha ◽  
R. Panawattanakul ◽  
W. Vassanasiri ◽  
Y. Kongdan ◽  
P. Lertsithichai ◽  
...  

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Claudia Fredolini ◽  
Khyatiben V. Pathak ◽  
Luisa Paris ◽  
Kristina M. Chapple ◽  
Kristine A. Tsantilas ◽  
...  

Abstract Background The lack of specificity and high degree of false positive and false negative rates when using mammographic screening for detecting early-stage breast cancer is a critical issue. Blood-based molecular assays that could be used in adjunct with mammography for increased specificity and sensitivity could have profound clinical impact. Our objective was to discover and independently verify a panel of candidate blood-based biomarkers that could identify the earliest stages of breast cancer and complement current mammographic screening approaches. Methods We used affinity hydrogel nanoparticles coupled with LC-MS/MS analysis to enrich and analyze low-abundance proteins in serum samples from 20 patients with invasive ductal carcinoma (IDC) breast cancer and 20 female control individuals with positive mammograms and benign pathology at biopsy. We compared these results to those obtained from five cohorts of individuals diagnosed with cancer in organs other than breast (ovarian, lung, prostate, and colon cancer, as well as melanoma) to establish IDC-specific protein signatures. Twenty-four IDC candidate biomarkers were then verified by multiple reaction monitoring (LC-MRM) in an independent validation cohort of 60 serum samples specifically including earliest-stage breast cancer and benign controls (19 early-stage (T1a) IDC and 41 controls). Results In our discovery set, 56 proteins were increased in the serum samples from IDC patients, and 32 of these proteins were specific to IDC. Verification of a subset of these proteins in an independent cohort of early-stage T1a breast cancer yielded a panel of 4 proteins, ITGA2B (integrin subunit alpha IIb), FLNA (Filamin A), RAP1A (Ras-associated protein-1A), and TLN-1 (Talin-1), which classified breast cancer patients with 100% sensitivity and 85% specificity (AUC of 0.93). Conclusions Using a nanoparticle-based protein enrichment technology, we identified and verified a highly specific and sensitive protein signature indicative of early-stage breast cancer with no false positives when assessing benign and inflammatory controls. These markers have been previously reported in cell-ECM interaction and tumor microenvironment biology. Further studies with larger cohorts are needed to evaluate whether this biomarker panel improves the positive predictive value of mammography for breast cancer detection.


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