| Literature DB >> 35413811 |
Mattia Lunardi1,2,3, Ahmed Al-Habbaa1,4, Mahmoud Abdelshafy1, Matthew G Davey5, Ahmed Elkoumy1, Sandra Ganly1,3,6, Hesham Elzomor1, Christian Cawley1, Faisal Sharif1, James Crowley1, Michael Kerin5,6, William Wijns1,3,6, Aoife Lowery5,6, Osama Soliman7,8.
Abstract
Cancer-therapy related cardiotoxicity (CTRCT) is a significant and frequent complication of monoclonal antibody directed therapy, especially Trastuzumab, for human epidermal growth factor receptor 2 (HER2) overexpressing breast cancers. Reliable, clinically available molecular predictive markers of CTRCT have not yet been developed. Identifying specific genetic variants and their molecular markers, which make the host susceptible to this complication is key to personalised risk stratification. A systematic review was conducted until April 2021, using the Medline, Embase databases and Google Scholar, to identify studies genetic and RNA-related markers associated with CTRCT in HER2 positive breast cancer patients. So far, researchers have mainly focused on HER2 related polymorphisms, revealing codons 655 and 1170 variants as the most likely SNPs associated with cardiotoxicity, despite some contradictory results. More recently, new potential genetic markers unrelated to the HER2 gene, and linked to known cardiomyopathy genes or to genes regulating cardiomyocytes apoptosis and metabolism, have been detected. Moreover, microRNAs are gaining increasing recognition as additional potential molecular markers in the cardio-oncology field, supported by encouraging preliminary data about their relationship with cardiotoxicity in breast cancers. In this review, we sought to synthesize evidence for genetic variants and RNA-related molecular markers associated with cardiotoxicity in HER2-positive breast cancer.Entities:
Keywords: Breast cancer; Cardiotoxicity; Genetic markers; HER2; Polymorphisms; miRNA
Mesh:
Substances:
Year: 2022 PMID: 35413811 PMCID: PMC9004047 DOI: 10.1186/s12885-022-09437-z
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Summary of CTRCT events and related genetic determinants in studies investigating HER2 SNPs
| Author | Investigated SNP (rsID) | No of patients | Genetic variant carriers | CTRCT definition | Total CTRCT events | Case- | Control-Eventsb | OR | 95%CI | |
|---|---|---|---|---|---|---|---|---|---|---|
| Gómez Peña et al. [ | 1,136,201 (HER2 655 A > G) | 78 | 28 (35.6%) | LVEF↓ > 10% resulting < 50%; or LVEF↓ > 15%; or any LVEF↓, resulting < 45%; or CHF | 9 (32.1%) | 9/28 (32.1%) | 6/50 (12%) | 3.41 | 1.02–11.96 | 0.039 |
| Beauclair et al. [ | 1,136,201 (HER2 655 A > G) | 61 | 25 (41%) | LVEF↓ > 20% | 5 (8.2%) | 5/25 (20%) | 0 | NA | NA | 0.004 |
| Lemieux et al. [ | 1,136,201 (HER2 655 A > G) | 73 | 21 (29%) | LVEF↓ > 10% resulting < 50%; or any LVEF↓, resulting < 45%; | 10 (13.7%) | 6/21 (28.6%) | 4/52 (7.7%) | 4.67 | 1.01–19.94 | 0.028 |
| Roca L et al. [ | 1,136,201 (HER2 655 A > G) | 132 | 53 (40%) | Any LVEF↓ resulting < 50%; or LVEF↓ > 15%; or discontinuation of trastuzumab due to CTRCT | 13 (9.8%) | 9/53 (16.9%) | 4/79 (5%) | 3.79 | 1.09–14.01 | 0.026 |
| Tan et al. [ | 1,136,201 (HER2 655 A > G) | 91 | 27 (29.7%) | LVEF↓ > 10% resulting < 53%; or CHF; or ACS; or fatal arrhythmia | 26 (28.6%) | 13/27 (48.1%) | 13 (20.3%) | 7.99 | 1.79–35.76 | 0.007 |
| Peddi et al. [ | 1,136,201 (HER2 655 A > G) | 662 | 238 (35.5%) | LVEF↓ > 10%; or CHF | 115 (17.3%) | 47/238 (19.7%) | 68/424 (16%) | NA | NA | 0.65 |
| Stanton et al. [ | 1,058,808 (HER2 1170 C > G) | 140 | 111 (79.3%) | LVEF↓ > 15%; or CHF | 29 (21%) | 19/111 (17.1%) | 10/29 (34.5%) | 2.60 | 1.02–6.62 | 0.004 |
| Boekhout et al. [ | 1,058,808 (HER2 1170 C > G) | 206 | NA | LVEF↓ > 15%; or LVEF < 45% | 36 (17.4%) | NA | NA | 0.09 | 0.02–0.45 | 0.003 |
aCase-Events: CTRCT events among genetic variant carriers. bControl-Events: CTRCT events among genetic variants non-carriers
Abbreviations: NA Not available, CHF Congestive heart failure, LVEF Left ventricle ejection fraction, ACS Acute coronary syndrome
Risk of bias assessment of studies included in the in the systematic review
| Meta-data | Methodology | Newcastle-Ottawa Scale | |||||
|---|---|---|---|---|---|---|---|
| Author | Publication Date | Origin | |||||
| 2015 | Spain | +− | **** | * | *** | 8 | |
| 2007 | France | +− | **** | * | *** | 8 | |
| 2013 | Canada | – | **** | ** | *** | 9 | |
| 2013 | France | ++ | **** | * | *** | 8 | |
| 2020 | China | +− | **** | * | *** | 8 | |
| 2022 | United States | −+ | **** | ** | *** | 9 | |
| 2015 | United States | – | **** | * | *** | 8 | |
| 2016 | Korea | ++ | **** | ** | *** | 9 | |
| 2017 | United States | −+ | **** | ** | *** | 9 | |
| 2018 | Japan | – | **** | ** | *** | 9 | |
| 2019 | Japan | – | **** | ** | *** | 9 | |
| 2019 | United States | – | ** | ** | ** | 6 | |
| 2020 | China | +− | **** | ** | *** | 9 | |
| 2021 | China | – | **** | ** | ** | 8 | |
| Mean Newcastle-Ottawa Scale score | 8.3 | ||||||
Abbreviations: NA Not Available, NR Not Reported; *Study design: Prospective (+), Retrospective (−); single centre (−), multicentre (+)
Maximum quality score = 9; 0–7 points were considered lower quality, and 8–9 points were considered as higher quality
Fig. 1PRISMA flow chart reporting the studies selection process
Metadata of the 13 studies included in the systematic review
| Author | Date of Publication | Journal | Database | Study design | No of patients | Study Duration (months) |
|---|---|---|---|---|---|---|
| Gómez Peña et al. [ | 2015 | Pharmacogenetics and Genomics | Medline | CCS | 78 | 12 |
| Beauclair et al. [ | 2007 | Annals of Oncology | Medline | CCS | 61 | 22.4 |
| Lemieux et al. [ | 2013 | Anticancer Research | Medline | CCS | 73 | NA |
| Roca L et al. [ | 2013 | Breast Cancer Research and Treatment | Medline | CCS | 132 | 46.8 |
| Tan et al. [ | 2020 | International Journal of Clinical and Experimental Pathology | Medline | CCS | 91 | 15 |
| Peddi et al. [ | 2022 | Clinical Cancer Research | Medline | RCT | 662 | 120 |
| Stanton et al. [ | 2015 | BMC Cancer | Medline | CCS | 140 | NA |
| Boekhout et al. [ | 2016 | JAMA oncology | Medline | CCS | 206 | 21 |
| Serie et al. [ | 2017 | Journal of cardiovascular development and disease | Medline | Post-hoc analysis | 800 | 72 |
| Udagawa et al. [ | 2018 | Cancer science | Medline | CCS | 243 | NA |
| Nakano et al. [ | 2019 | Biological and pharmaceutical bulletin | Medline | CS | 481 | 37.7 |
| Wang et al. [ | 2019 | Medicine (Baltimore) | Medline | Pilot study | 3 | NA |
| Zhang et al. [ | 2020 | Frontiers in oncology | Medline | CCS | 65 | NA |
| Feng et al. [ | 2021 | J Breast Cancer | Mediline | CCS | 72 | 15 |
Abbreviations: NA Not Available, RCT Randomized control trial, CS Cohort study, CCS Cross sectional, IV In-vitro
Fig. 2Pooled analysis of HER2 655 SNP association with CTRCT
Fig. 3Overview of the genetic determinants of CTRCT in HER2+ breast cancer patients
Fig. 4HER2 related potential CTRCT mechanisms. The HER2 protein is described as a homodimer from molecular studies. When the Valine amino acid substitutes Isoleucine (HER2 655 Ile/Val SNP) in the transmembrane domain (top left), the HER2 protein assumes a heterozygous configuration, resulting in an excessively stabilized active state [28, 31]. In the presence of HER2 1170 Pro/Ala SNP, the proline amino acid in the carboxy domain (bottom left) has a secondary amide structure that allow more stable hydrogen binding of nearby amino acids [40]. Both changes lead cardiomyocytes to be especially dependent to HER2 signalling, responsible for their growth, survival and performance. In these cases, the blockage of the overactivated HER2 by monoclonal antibodies like trastuzumab, critically reduce the HER2 protective role of cardiomyocytes, making them more susceptible to cellular damage and secondary function alteration