Cardiotoxicity of anthracycline-free targeted oncological therapies in HER2-positive breast cancer

Adverse effects of tyrosine kinase inhibitors in cancer therapy: pathophysiology, mechanisms and clinical management

Since their invention in the early 2000s, tyrosine kinase inhibitors (TKIs) have gained prominence as the most effective pathway-directed anti-cancer agents. TKIs have shown significant utility in the treatment of multiple hematological malignancies and solid tumors, including chronic myelogenous leukemia, non-small cell lung cancers, gastrointestinal stromal tumors, and HER2-positive breast cancers. Given their widespread applications, an increasing frequency of TKI-induced adverse effects has been reported. Although TKIs are known to affect multiple organs in the body including the lungs, liver, gastrointestinal tract, kidneys, thyroid, blood, and skin, cardiac involvement accounts for some of the most serious complications. The most frequently reported cardiovascular side effects range from hypertension, atrial fibrillation, reduced cardiac function, and heart failure to sudden death. The potential mechanisms of these side effects are unclear, leading to critical knowledge gaps in the development of effective therapy and treatment guidelines. There are limited data to infer the best clinical approaches for the early detection and therapeutic modulation of TKI-induced side effects, and universal consensus regarding various management guidelines is yet to be reached. In this state-of-the-art review, we examine multiple pre-clinical and clinical studies and curate evidence on the pathophysiology, mechanisms, and clinical management of these adverse reactions. We expect that this review will provide researchers and allied healthcare providers with the most up-to-date information on the pathophysiology, natural history, risk stratification, and management of emerging TKI-induced side effects in cancer patients.

Multimodality Advanced Cardiovascular and Molecular Imaging for Early Detection and Monitoring of Cancer Therapy-Associated Cardiotoxicity and the Role of Artificial Intelligence and Big Data

Cancer mortality has improved due to earlier detection via screening, as well as due to novel cancer therapies such as tyrosine kinase inhibitors and immune checkpoint inhibitions. However, similarly to older cancer therapies such as anthracyclines, these therapies have also been documented to cause cardiotoxic events including cardiomyopathy, myocardial infarction, myocarditis, arrhythmia, hypertension, and thrombosis. Imaging modalities such as echocardiography and magnetic resonance imaging (MRI) are critical in monitoring and evaluating for cardiotoxicity from these treatments, as well as in providing information for the assessment of function and wall motion abnormalities. MRI also allows for additional tissue characterization using T1, T2, extracellular volume (ECV), and delayed gadolinium enhancement (DGE) assessment. Furthermore, emerging technologies may be able to assist with these efforts. Nuclear imaging using targeted radiotracers, some of which are already clinically used, may have more specificity and help provide information on the mechanisms of cardiotoxicity, including in anthracycline mediated cardiomyopathy and checkpoint inhibitor myocarditis. Hyperpolarized MRI may be used to evaluate the effects of oncologic therapy on cardiac metabolism. Lastly, artificial intelligence and big data of imaging modalities may help predict and detect early signs of cardiotoxicity and response to cardioprotective medications as well as provide insights on the added value of molecular imaging and correlations with cardiovascular outcomes. In this review, the current imaging modalities used to assess for cardiotoxicity from cancer treatments are discussed, in addition to ongoing research on targeted molecular radiotracers, hyperpolarized MRI, as well as the role of artificial intelligence (AI) and big data in imaging that would help improve the detection and prognostication of cancer-treatment cardiotoxicity.

Association between the genetic polymorphisms of the pharmacokinetics of anthracycline drug and myelosuppression in a patient with breast cancer with anthracycline-based chemotherapy

AIMS

Exploring the genetic polymorphisms involved in the metabolism of anthracyclines can explain the causes of individual differences in myelosuppression during anthracycline-based chemotherapy.

MAIN METHODS

By PCR and Sanger sequencing, SNP of candidate genes participating into the pharmacokinetics of anthracycline, including chemotherapeutic drug intake (SLC22A16 rs6907567), metabolism (AKR1A1 rs2088102, CBR1 rs20572) and transfer (ABCG2 rs2231142) are detected in 194 breast cancer patients undergoing anthracycline-based postoperative adjuvant chemotherapy.

KEY FINDINGS

The CBR1 rs20572 (C>T) polymorphic allele, the ABCG2 rs2231142 (G>T) polymorphic allele, or the two polymorphic allele in combination significantly reduced the risk of leukopenia (OR 0.412, 95% CI 0.187-0.905, p = 0.025) and neutropenia (OR 0.354, 95% CI 0.148-0.846, p = 0.018). Either polymorphic allele T of CBR1 rs20572, or polymorphic allele C of AKR1A1 rs2088102 combined with the presence of both ABCG2 rs2231142(G>T) and SLC22A16 rs6907567(A>G) mutations were at extremely low risk of severe anemia of grades 3 and 4 (OR 0.058, 95% CI 0.006-0.554, p = 0.008, OR 0.065, 95% CI 0.006-0.689, p = 0.022, OR 0.037, 95% CI 0.004-0.36, p = 0.015, respectively).

SIGNIFICANCE

These results suggested CBR1 rs20572, ABCG2 rs2231142, SLC22A16 rs6907567 and AKR1A1 rs2088102 might be potential protective factors for the reduction of hematologic toxicity incidence during anthracycline-based chemotherapy in breast cancer patients.