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Molecular Mechanisms Underlying Anthracycline Cardiotoxicity: Challenges in Cardio-Oncology

2016· book-chapter· en· W2558023746 on OpenAlexaff
Rimpy Dhingra, Victoria Margulets, Lorrie A. Kirshenbaum

Bibliographic record

VenueCardio-Oncology · 2016
Typebook-chapter
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsCardiotoxicityAnthracyclineMedicineCancerInternal medicineDoxorubicinOncologyChemotherapyAdverse effectCardiologyBreast cancer

Abstract

fetched live from OpenAlex

The advent of new chemotherapeutic agents has tremendously increased the survival rate of cancer patients. However, the majority, if not all the anticancer therapies in clinical use, is associated with adverse cardiotoxicity, which affects the quality of life of cancer patient survivors. Cardiac arrhythmia, ischemia, pericarditis, and systolic and diastolic dysfunction are the common abnormalities most cancer patient survivors experience for rest of their lives. Chemotherapy is the most common cancer treatment and mainly includes anthracyclines, alkylating agents, antimetabolites, and mitotic and topoisomerase inhibitors (Minami M, Matsumoto S, Horiuchi H. Cardiovascular side-effects of modern cancer therapy. Circ J 2010;74:1779–86). Over the past 3 decades, anthracyclines have been proven as an efficient oncological medication and are among the most widely prescribed drugs used to treat human malignancies (Torti FM, Bristow MM, Lum BL, Carter SK, Howes AE, Aston DA, Brown Jr BW, Hannigan Jr JF, Meyers FJ, Mitchell EP. Cardiotoxicity of epirubicin and doxorubicin: assessment by endomyocardial biopsy. Cancer Res 1986;46:3722–27), however, a major consideration includes the associated cardiotoxic effects that limit their usage. Of note, approximately two million people in the USA alone may be at risk of delayed anthracycline toxicity (Eschenhagen T, Force T, Ewer MS, de Keulenaer GW, Suter TM, Anker SD, Avkiran M, de AE, Balligand JL, Brutsaert DL, Condorelli G, Hansen A, Heymans S, Hill JA, Hirsch E, Hilfiker-Kleiner D, Janssens S, de JS, Neubauer G, Pieske B, Ponikowski P, Pirmohamed M, Rauchhaus M, Sawyer D, Sugden PH, Wojta J, Zannad F, Shah AM. Cardiovascular side effects of cancer therapies: a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail 2011;13:1–10). For the effective management of cancer patients it is imperative to reduce or minimize the side effects of anthracyclines on the heart. Therefore, understanding the molecular mechanisms that underlie the cardiotoxic effects of anthracycline and related compounds is of paramount importance in reducing morbidity and mortality in cancer patients treated with these agents. The current literature describing the molecular mechanisms underlying anthracycline cardiomyopathy will be discussed in this chapter.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0050.002
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 head0.086
GPT teacher head0.339
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2016
Admission routes1
Has abstractyes

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