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Record W4381986314 · doi:10.1016/j.cjco.2023.05.010

Detection of Macrotroponin in Patients Receiving Treatment for Breast Cancer

2023· article· en· W4381986314 on OpenAlexafffund
Peter A. Kavsak, Brock Hoard, Katharine Mackett, Som D. Mukherjee, Louise Bordeleau, Sukhbinder Dhesy‐Thind

Bibliographic record

VenueCJC Open · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchAbbott LaboratoriesOrtho Clinical DiagnosticsMcMaster UniversityBeckman Coulter FoundationInstitute of Population and Public HealthHamilton Health Sciences
KeywordsTrastuzumabMedicineBreast cancerInternal medicineEjection fractionAnthracyclineTroponin IRegimenChemotherapyCardiologyCancerOncologyGynecologyHeart failureMyocardial infarction

Abstract

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One important variable to consider in patients with persistent elevations of hs-cTn with unclear etiology is an interference, such as macrotroponin, with an estimated <5% prevalence in hospital settings.1,2 Different hs-cTn assays are more apt to detect these immunoglobulin-based complexes. Although potentially persistent, identification of these complexes does not appear to be pathological.2 We and others have previously reported on the high incidence of myocardial injury (i.e., >50%) as determined by hs-cTn, in women with breast cancer within the first three months after starting trastuzumab following an anthracycline chemotherapy regimen.3 As these hs-cTn elevations did not correlate with a worsening left ventricular ejection fraction (LVEF), our objective was to explore the possibility of the presence of a macrocomplex contributing to the observed high hs-cTn concentrations. Plasma samples from the last five consecutive women who completed the study protocol (from 23 patients enrolled) were collected before chemotherapy and prior to plus one day post cycles 1-9 of trastuzumab (15 samples per patient, frozen below -700C) from our observational biomarker study (all five women has sufficient plasma volume to perform the analyses).3 The samples were tested with Abbott hs-cTnI (sex-specific upper reference limit, URL=16ng/L), Beckman hs-cTnI (12ng/L), Ortho hs-cTnI (9ng/L), Roche hs-cTnT (9ng/L) and Roche NT-proBNP (overall URL=125ng/L) with the concentrations divided by the URL to standardize interpretation. The baseline and cycle-1,-2,-9 samples were also subjected to polyethylene glycol (PEG) precipitation and tested with the Abbott hs-cTnI assay to detect the presence of macrocomplexes (macrocomplex present if PEG hs-cTnI recovery <20%).2,4 All five women (age range=36-56 years) completed the same anthracycline regimen (duration range=70-88 days) followed by 9 cycles of trastuzumab with blood collected. Before treatment (pre-chemo), only the Abbott hs-cTnI assay yielded concentrations above the limit of detection (range=5-13ng/L) in all samples (Supplemental Table S1), with a macrocomplex also detected with the Abbott hs-cTnI assay for these five patients. The increase in hs-cTn was similar across all assays, with highest levels (average=5xURL) around cycle-2 of trastuzumab (average=96 days on treatment), which was dissimilar to the NT-proBNP profile (Figure 1). A larger study is necessary to determine macrotroponin prevalence in breast cancer patients using the systematic approach recently published by the International Federation of Clinical Chemistry Committee on Clinical Applications of Cardiac Biomarkers.4 However, these exploratory data suggests that these macrocomplexes might explain some of the early hs-cTn elevations in this population with normal LVEF. Funding: Juravinski Cancer Center Foundation Grant (Dr Dhesy-Thind) and CIHR (Kavsak) Ethics approval: Study was approved by the Hamilton Integrated Research Ethics Board Conflict of interest/Disclosures: Dr. Kavsak has received grants/reagents/consultant/advisor/ honoraria from Abbott Laboratories, Abbott Point of Care, Beckman Coulter, Ortho Clinical Diagnostics, Quidel, Randox Laboratories, Roche Diagnostics, Siemens Healthcare Diagnostics, and Thermo Fisher Scientific. McMaster University has filed patents with Dr. Kavsak listed as an inventor in the acute cardiovascular biomarker field. No other disclosures were reported. 1Saunders A, Tsui AKY, Alhulaimi N. Persistent Troponin Elevation in the Setting of an Elevated Rheumatoid Factor: When It Pays to Double Check. CJC Open. 2021 Mar 3;3(7):981-983.Google Scholar, 2Ghossein J, Ghossein J, Booth RA, Kavsak P, Chamoun C. Presence of Macrotroponin for Over 2 Years in a Young Woman. CJC Open. 2022 Aug 6;4(11):1012-1014.Google Scholar, 3Dhesy-Thind S, Ellis PM, Mukherjee SD, Mackett K, Bordeleau L, Kavsak PA. Longitudinal High-Sensitivity Cardiac Troponin I Measurements in Patients With Breast Cancer Receiving Trastuzumab. Can J Cardiol. 2019 Apr;35(4):545.e1-545.e2.Google Scholar, 4Hammarsten O. Warner J.V. Lam L. Kavsak P. Lindahl B. Aakre K.M. Collinson P. Jaffe A.S. Saenger A.K. Body R. Mills N.L. Omland T. Ordonez-Llanos J. Apple F.S. Antibody-mediated interferences affecting cardiac troponin assays: recommendations from the IFCC Committee on Clinical Applications of Cardiac Biomarkers.Clin Chem Lab Med. 2023 Mar 24; https://doi.org/10.1515/cclm-2023-0028Crossref Scopus (0) Google Scholar. Download .docx (.01 MB) Help with docx files

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.456

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.386
Teacher spread0.341 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes2
Has abstractyes

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