Volume 10 - 2020 | https://doi.org/10.3389/fonc.2020.526850
This article is part of the Research TopicEmerging Diagnostic Approaches for Triple-Negative Breast CancerView all 10 articles
Noncoding RNAs (ncRNAs) include a diverse range of RNA species
including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs)
ncRNAs of approximately 19–25 nucleotides in length
are involved in gene expression regulation either via degradation or silencing of the messenger RNAs (mRNAs) and have roles in multiple biological processes
comprise one of the largest and most heterogeneous RNA families
LncRNAs can activate or repress gene expression through various mechanisms
acting alone or in combination with miRNAs and other molecules as part of various pathways
most research has focused on individual lncRNA and miRNA functions as regulators
and there is limited available data on ncRNA interactions relating to the tumor growth
acting either on mRNA alone or as competing endogenous RNA (ceRNA) networks
Triple-negative breast cancer (TNBC) represents approximately 10%–20% of all breast cancers (BCs) and is highly heterogenous and more aggressive than other types of BC
for which current targeted treatment options include hormonotherapy
no targeted therapies for TNBC are available
partly because of a lack of predictive biomarkers
new evidence has emerged demonstrating the implications of dysregulation of ncRNAs in TNBC etiology
we review the roles of lncRNAs and miRNAs implicated in TNBC
including their interactions and regulatory networks
Our synthesis provides insight into the mechanisms involved in TNBC progression and has potential to aid the discovery of new diagnostic and therapeutic strategies
and LAR tumors are associated with the best overall survival (OS) rates
To improve the survival of patients with TNBC
identification of predictive biomarkers is necessary to assess the risk of metastasis
Of novel and potentially useful biomarkers
there is good evidence for close correlation of abnormal expression of noncoding RNAs (ncRNAs) and TNBC development and progression
MiRNAs are short, single-stranded, ncRNAs (19–25 nucleotides) that account for 1%–5% of the human genome (28,000 mature miRNAs have been identified) and regulate at least 30% of protein-coding genes (18, 19). They are involved in the regulation of tumor growth, proliferation, differentiation, and apoptosis as oncogenes and tumor suppressors (17, 20)
The pre-miRNA crosses the nuclear membrane into the cytoplasm through the exportin-5 channel
double-stranded RNA fragments whose strands separate
and the mature single-stranded molecule adheres to the RNA-induced silencing complex (RISC)
which is an effector molecule comprising miRNA and specific proteins
MiRNAs can also promote ribosome biogenesis, resulting in target gene repression (24). Further, miRNAs are implicated in various biological and pathological regulatory processes, including the most malignant phenotype processes (25)
To date, studies have focused on specific miRNA profiles that intervene at different levels of the malignant process; however, the reasons why miRNAs are over- or under-expressed remain unclear although multiple hypotheses have been proposed (36)
Table 1 Summary of the cellular functions of miRNAs in tumorigenesis of TNBC
The definition and classification of lncRNAs remains somewhat unclear as the exact mechanisms and pathways of action of these molecules have not been fully elucidated although some classes of lncRNA have been intensively studied and no longer represent a mystery
Most lncRNAs localize to the nucleus and chromatin, where they control DNA sequences and are involved in transcriptional regulation with different functions in the cytoplasm, and a fraction of molecules occur as circulating lncRNAs, which are transmitted via exosomes (78)
LncRNAs can interact with various molecules, including transcription factors, mature mRNAs, chromatin-modifying complexes, RNA binding proteins, DNA, nascent RNA transcripts, microRNA, and chromatin. LncRNA transcripts can bind to active proteins and establish an exact position (cis or trans) (80). Consequently, lncRNAs have important functions in regulating gene expression at the epigenetic, transcription, and post-transcription levels (82)
Several lncRNAs have important roles in cancer development, some of which have also been identified in TNBC (Table 2). From oncogenic lncRNAs, the main important ones are HOTAIR, MALAT1, HULC, AWPPH and ARNILA. HOTAIR (Hox transcript antisense intergenic RNA) is one of the best-studied lncRNA regulators. It is a spliced, polyadenylated transcript comprising 6 exons; is approximately 2200 nucleotides in length; and maps to chromosome 12q13.13 (83)
This sequence has roles in the progression of multiple neoplasms
HOTAIR is oncogenic when upregulated; hence
its expression levels are correlated with patient prognosis
and HOTAIR can be used as a predictive biomarker
Table 2 Summary of the cellular functions of miRNAs in tumorigenesis of TNBC
Fully mature miRNAs interact with complementary regions in the 3’-UTRs of target mRNA transcripts, referred to as miRNA recognition elements (MREs). The consequence is the destruction of targets that are a perfect match or inhibition of translation when the target is a partial match (110)
It is generally accepted that ceRNA networks could be the next candidates to serve as prognostic biomarkers and possibly targets for new therapies in TNBC
Based on recent topics of research focus, which involve genomic sponges and interactions among them, databases (ceRDB, starBAse, lnCeDB, LncACTdb, HumanViCe) have been created to archive all available information. Relationships are predicted virtually and validated experimentally (125)
Many lncRNAs have been proposed as ceRNAs for miRNAs. In TNBC, ARF6 overexpression causes loss of MiR-145, resulting in promotion of cell invasion. LincRNA-RoR, a regulator of reprogramming, is a ceRNA for miR-145, leading to competitive inhibition with ARF6, and loss of mature miR-145 expression (126–130)
Another important discovery is circular RNAs (circRNAs), which are ceRNAs created by the direct ligation of the 5′ and 3′ ends of linear RNA. Circular forms are transitional in the course of RNA splicing, exhibit superior stability relative to linear RNAs, and could consequently serve as effective miRNA sponges (131)
Direct regulatory relationships in these networks manifest as correlations among genes regulated by the same transcription factors, transcription factors with their individual correlated targets, or incidental correlations between gene expression levels. It has become clear that co-expression networks created in this way do not accurately represent the underlying regulatory processes and do not retain many of the properties associated with biological networks (132)
A study of 116 TNBC and 11 normal tissues from TCGA analyzed integrated expression profiles, including data on miRNAs, lncRNAs, and mRNAs in a WGCNA to identify the features of dysregulated genes. Seven key molecules (AKAP12, FOS, EMX2OS, MYCNOS, RP11-542B15.1, hsa-miR-9, and hsa-miR-183) were overexpressed and correlated with poor patient outcomes; however, overexpression of hsa-miR-145, LINC00461, RP11-576D8.4, and RP11-496D24.2 was correlated with better OS (134)
An lncRNA-miRNA-mRNA regulatory axis was also hypothesized as positively correlated with TNBC in a ceRNA, in which five molecules (TERT, TRIML2, PHBP4, miR-1-3p, and miR-133a-3p) were significantly associated with prognosis in patients with TNBC (135)
In a study of 155 DElncRNAs, DEmRNAs, and DEmiRNAs, OSTN-AS1 was identified as related to immunologic function and immune-related marker co-expression and proposed as a novel, possibly immune-related, prognostic marker (137)
A biomarker is a molecule that, ideally, is easy to detect and offers credible information on diagnosis, prognosis, or other disease parameters (138). MiRNAs are considered possible strong biomarkers in TNBC and can be evaluated in tissue specimens and as circulating miRNAs, where the latter present new opportunities for identification of powerful biomarkers in TNBC (139, 140)
MiRNAs useful as biomarkers can be identified singly or as part of a group of miRNAs all implicated in TNBC, referred to as miR-signatures. Examples of miRNAs useful as independent markers and also included in various miR-signatures include miR-10b, miR-155, and miR-21. Further, these molecules are dysregulated in numerous neoplasms in addition to TNBC (71, 141)
Figure 1 Sources and routes of circulating mRNAs
Exosomal secretion- Pri-miRNA is transcribed
processed by Drosha and transported in cytoplasm by Exportin5
where is integrated in RISC complex and target mRNA in exosomes which are released in human fluids
Budding from plasma membrane and forming microvesicles
Measurement of HIF1A-AS2 expression in 86 TNBC specimens, 30 non-TNBC specimens, and 30 adjacent mammary specimens demonstrated that it is upregulated in TNBC tissues compared with non-TNBC tissues, leading to the conclusion that HIF1A-AS2 expression is associated with OS in patients with TNBC (181)
A recently discovered lncRNA, hepatocellular carcinoma upregulated EZH2-associated lncRNA (HEIH), is overexpressed in TNBC tissues and cell lines compared with adjacent normal mammary tissues and a normal mammary epithelial cell line. Downregulation of HEIH inhibits TNBC cell proliferation and promotes apoptosis by regulating the miR-4458/SOCS1 axis. HEIH is also involved in clinical progression (183)
Comparison between the genome-wide methylation profiles in peripheral blood DNA from 233 patients with TNBC and 231 controls led to the identification and validation of increased methylation at cg06588802 in the long intergenic noncoding RNA, LINC00299 in patients with TNBC compared with controls, suggesting that hypermethylation of LINC00299 in peripheral blood may constitute a useful circulating biomarker for TNBC (184)
The paradigm proposed for the origin of cancer related to its hallmarks involves the highly dynamic accumulation of mutations and chromosomal genetic changes occurring at different times and influenced by epigenetic mechanisms
Translating current knowledge of TNBC into oncological practice involves identification of new biomarkers/molecules/assays, which reveal new pathways or novel ways to understand these diseases. EMT is a current research focus with the metastatic process involving multiple genes/pathways: for example, ETS, RAS, integrins, WNT/beta-catenin, SRC, and Notch (185–191)
Cancer stem cells express phenotypic plasticity, which is a major factor in tumor malignancy, and miRNAs are involved in the maintenance of stemness in TNBC (192–196). Specifically, miRNA-31 promotes mammary stem cell expansion and tumorigenesis by suppressing WNT signaling antagonists (197)
LncRNAs are also central players in the battle against malignant diseases
LncRNAs contribute to regulatory networks by various mechanisms
Nuclear lncRNAs may be considered to have epigenetic functions of regulation or to act as guides by recruiting chromatin modification factors to cytogenetic loci
Studies of miRNAs and lncRNAs can also improve information regarding the molecular classification of TNBC. Recently a novel TNBC classification system, the FUSCC classification, was established by integrating the expression profiles of mRNAs and lncRNAs (198)
it is essential to explore the mechanisms and interactions involved in the regulatory networks
in which lncRNAs can serve as a ceRNAs involved in regulation of mRNA expression and also including miRNAs
represents a new perspective regarding ncRNA interactions
Possible tissue biomarkers have been identified in numerous studies
singly or associated in specific signatures
and mRNA interactions in cancer and the molecular mechanisms involved in these interactions correlated with tumorigenesis and cancer progression remain undefined
Future biomarkers in TNBC may be represented by genomic signatures developed into clinically accepted tests for the early detection and clinical management of patients with TNBC
Circulating miRNAs and lncRNAs are also promising tests for early detection
LncRNA-miRNA-mRNA interaction networks provide opportunities for further experimental studies and improvement of biomarker predictions for developing novel therapeutic approaches in TNBC
All authors listed have made a substantial
and intellectual contribution to the work and approved it for publication
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest
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Received: 14 January 2020; Accepted: 13 October 2020;Published: 20 November 2020
Copyright © 2020 Volovat, Volovat, Hordila, Hordila, Mirestean, Miron, Lungulescu, Scripcariu, Stolniceanu, Konsoulova-Kirova, Grigorescu, Stefanescu, Volovat and Augustin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)
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*Correspondence: Constantin Volovat, dm9sb3ZhdGNvbnN0YW50aW5AZ21haWwuY29t
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Methods: Medication adherence was assessed using the Proportion of Days Covered (PDC) method, and Spearman correlation analysis was conducted to explore the relationships between adherence, age, gender, and follow-up duration.
Discussion: High adherence rates were observed among patients treated with CDK 4/6i drugs, with no significant differences noted among the three drugs in this class. However, the collected patient data was limited, lacking information on adverse reactions that could potentially lead to treatment discontinuation, as determined by the oncologist’s decision not to prescribe. Consequently, a comprehensive understanding of all factors contributing to the low adherence levels is hindered.
Volume 15 - 2024 | https://doi.org/10.3389/fphar.2024.1345482
Introduction: It is imperative for patients to respect the prescribed treatments to achieve the anticipated clinical outcomes
including the outpatients receiving oral anti-cancer drugs such as selective cyclin-dependent kinase 4/6 inhibitors (CDK 4/6i)
With the introduction of three CDK 4/6i drugs in the Romanian pharmaceutical market in 2018
our study aimed to evaluate medication adherence and the influencing factors among patients undergoing treatment with palbociclib
or abemaciclib for advanced or metastatic breast cancer
Methods: Medication adherence was assessed using the Proportion of Days Covered (PDC) method
and Spearman correlation analysis was conducted to explore the relationships between adherence
Results: The study enrolled 330 breast cancer patients
with an average follow-up period of 14.6 ± 12.5 months for palbociclib
and 8.6 ± 6.4 months for abemaciclib-treated patients
A small proportion of patients demonstrated non-adherence: 12.8% for palbociclib
there was no significant correlation between adherence
a significant correlation was found with the duration of follow-up (rho = −0.304
Similar results were observed for patients receiving ribociclib or abemaciclib
Most patients received combination therapy with letrozole (46%) and exemestane (13%) for palbociclib
letrozole (48%) and fulvestrant (19%) for ribociclib
and fulvestrant (39%) and letrozole (27%) for abemaciclib
Discussion: High adherence rates were observed among patients treated with CDK 4/6i drugs
with no significant differences noted among the three drugs in this class
lacking information on adverse reactions that could potentially lead to treatment discontinuation
as determined by the oncologist’s decision not to prescribe
a comprehensive understanding of all factors contributing to the low adherence levels is hindered
According to the submission of its dossier to EMA
abemaciclib was approved in combination with an aromatase inhibitor (AI
or examestan) as initial endocrine-based therapy or in combination with fulvestrant as initial endocrine-based therapy or following endocrine therapy
All three medications were recommended for the treatment of women with locally advanced or metastatic breast cancer (a/mBC)
or in women who have received prior hormonal therapy
hormonal therapy should be combined with a luteinizing hormone-releasing hormone (LHRH) agonist
Medication adherence is a hey enabler of best health outcomes and some medication adherence supporting activities were reported in order to guide research and practice on enhancing medication adherence (Kardas et al., 2023). Treatment nonadherence is associated with disease progression and mortality among patients with breast cancer (Chirgwin et al., 2016)
The existing research on adherence to CDK4/6i anticancer agents is limited
the primary aim of our research was to assess the adherence levels of CDK 4/6i and to explore potential correlations with variables such as age
our study also sought to investigate potential disparities in medication adherence among the three distinct CDK 4/6i currently available within the pharmaceutical market in Romania
we aimed to contribute valuable insights into the patterns of medication adherence and its associations with demographic factors
thereby enhancing our understanding of the real-world usage of these CDK 4/6i in clinical practice from Romania
In the context of our study conducted in Romania
electronic information pertaining to reimbursed medications is exclusively accessible through the database maintained by the Romanian Health Insurance House
Ethical approval for our research endeavor
granted under Ethics Council approval number 175/29.10.2021
allowed us access to anonymized patient data sourced from community pharmacies in Dolj County
which were reported to the Health Insurance House of Dolj
The study focused on data spanning the past 5 years
corresponding to the period during which the first CDK 4/6 inhibitor
was approved for entry into the Romanian pharmaceutical market
our study inquired about patient records identified by the ICD-10 code C50
with a subsequent focus on individuals receiving treatment with palbociclib
The data obtained for analysis encompassed essential demographic information
as well as details concerning prescription refills
including the quantity of medicines dispensed and the dates of prescription release from community pharmacies
our access to information was limited to these parameters
and we did not have access to additional patient-specific data such as comorbidities or other health covariates
This approach was undertaken within the confines of ethical guidelines and regulations
ensuring the confidentiality and privacy of patient information while enabling us to analyze patterns of CDK 4/6i usage in the studied population
The utilization of this restricted dataset was essential for our investigation into medication adherence and its potential correlations with demographic factors within the Romanian context
All patients with breast cancer (code of disease = 124) who raised their reimbursed prescriptions from a community pharmacy from Dolj County
in the period 1 January 2018 -31 December 2022
The first patient received the first palbociclib prescription from the community pharmacy in July 2018
the first patient was a female of 73 years old
We included all patients who had at least two fills of CDK 4/6i because it is required to compute medication adherence
CDK 4/6i cycle dates were determined based on the electronic records from the Dolj Health Insurance House for the reimbursed prescriptions written by the oncologist
The duration of follow-up was defined as the time in months from the first prescription issuing by the pharmacist in the community pharmacy to the last prescription reimbursed by the Dolj Health Insurance House according to the analyzed period (1 January 2018-31 December 2022)
We considered it as the time elapsed from the medication’s starting date to the last treatment’s discontinuation date
which could be death or treatment modification
We conducted descriptive analysis of continuous variables (age
adherence) using means±standard deviations (SD)
median and interquartile range (IQR) and range (minimum-maximum) and of categorical variables (gender
categories of age) using frequencies and percentages
to demonstrate the potential correlation between medication adherence and age
we calculated the Spearman’s coefficients and visually presented with heatmaps
To evaluate the differences between the characteristics and medication adherence of patients with different treatment
we used Kruskal–Wallis H test for continuous variables and Chi-square test for categorical variables
We visually presented the differences of medication adherence among patients with different treatments using violin graphs
We conducted statistical analysis using GraphPad Prism 10.1 (GraphPad Software Boston
with the statistical significance level set at p less than 0.05
During the study period from 1 January 2018
a total of 330 patients were prescribed CDK 4/6i
180 patients (55%) were administered palbociclib
Table 1 summarizes descriptive statistics of patient characteristics
as well as the p-value after performing the comparison between them
The median (range) age was 66 (30–90) years for the palbociclib group
71 (36–92) years for the ribociclib group
and 66 (43–93) years for the abemaciclib group of patients
Most of the patients were more than 60 years old: 70% in palbociclib patients
79.3% in ribociclib patients and 73.5% in abemaciclib patients
but more male patients were treated with palbociclib (3.3%) than with ribociclib (1.2%) or abemaciclib (1.5%)
The follow-up varies significantly between the three groups of patients (p-value = 0.004)
with higher follow-up for patients treated with palbociclib
because it was earlier introduced on the Romanian pharmaceutical market
Characteristics of the patients treated with CDK 4/6 inhibitors
Gosereline was more combined with ribociclibum (5.4%)
Combination of CDK 4/6i with endocrine therapy by month over the study period
Combination of palbociclib (PALBO) with endocrine therapy
Combination of ribociclib (RIBO) with endocrine therapy
Combination of abemaciclib (ABEMA) with endocrine therapy
The percentages were computed based on the total number of patients undergoing treatment with both CDK 4/6i and endocrine therapy
Combinations of the CDK 4/6 inhibitors with aromatase inhibitors or/and luteinizing hormone-releasing hormone agonists
We observed the peaks in the CDK 4/6i and the most patients had 100% adherence for all three groups of patients
was observed among patients treated with abemaciclib (mean ± SD
0.93 ± 0.14) than among patients treated with palbociclib (mean ± SD
0.92 ± 0.14) or ribociclib (mean ± SD
The smallest adherence was observed for a patient treated with palbociclib (0.11)
while the smallest adherence observed for a patient treated with ribociclib was 0.15 and the smallest adherence observed for a patient treated with abemaciclib was 0.43
Adherence as proportion of days covered (PDC) in patients treated with either CDK 4/6i
Correlation between adherence of CDK 4/6i treatment
The colors from heatmaps correspond to the Spearman coefficient from negative values (light orange color) to positive values (green color)
Heatmap of correlations in the case of palbociclib therapy
Heatmap of correlations in the case of ribociclib therapy
Heatmap of correlations in the case of abemaciclib therapy
similar values for mean PDC for palbociclib (90%) and abemaciclib (88.1%)
in the same way we obtained for abemaciclib (93%) and palbociclib (92%)
Using another method to measure palbociclib adherence
the same results were obtained in a real-world assessment of palbociclib adherence in USA
The routine of frequent medication intake was proved to be one of the important barriers of adherence to oral anticancer medications among patients with breast cancer (Onwusah et al., 2023)
despite the distinct administration schedules of CDK 4/6 inhibitors (ribociclib and palbociclib are administered once daily for 21 consecutive days followed by 7 days without treatment
while abemaciclib is administered continuously)
medication adherence did not differ among the three patient groups
Few studies were published regarding CDK 4/6i non-adherence negatively effects. Regarding palbociclib adherence, it was measured its impact on pharmacokinetic and pharmacodynamic profiles and proved that catching up on a missed dose at the end of the cycle increases the risk of severe neutropenia in the next cycle (Bandiera et al., 2023)
In our study, we found no significant association between gender and adherence to CDK4/6i, a finding that contrasts with some research indicating gender-specific differences in medication adherence, especially in the context of experiencing adverse effects. For example, a significant difference has been noted in the occurrence of side effects in tamoxifen treatments (Xu et al., 2012)
This distinction is important to take into account because the likelihood of side effects is a major factor affecting patients’ compliance with their prescription regimens
The lack of a gender-based difference in adherence to CDK4/6i in our study is particularly intriguing when juxtaposed with these observations
It prompts further inquiry into the distinctive characteristics of CDK4/6i and their reception and tolerance by different genders and it is important to consider the variety of treatments used for male breast cancer patients
A study published in Breast in 2022 (Yıldırım et al., 2022) highlights that most male patients were treated with CDK4/6i in combination with fulvestrant or AI rather than tamoxifen. This diverges from the general perception and findings in some interviews (Chalasani, 2023)
which suggest that tamoxifen is a more commonly used treatment in male breast cancer patients
This discrepancy in treatment choices is noteworthy because it suggests variability in the clinical management of male breast cancer and potentially different side effect profiles and adherence challenges associated with each treatment
among the patients who received ribociclib
53.7% patients received ribociclib + AI and 19% patients received ribociclib + LHRH
Regarding the patients who received abemaciclib
more patients were treated in combination with LHRH (39%) than with AI (33%)
The choice of treatment - whether tamoxifen
or CDK4/6i - can have significant implications for adherence
Each medication comes with its own set of potential side effects and impacts on quality of life
which can influence a patient’s willingness and ability to remain adherent
The fact that different treatments are being chosen for male patients in various studies and clinical settings underlines the need for a deeper understanding of how treatment decisions are made and how these decisions affect adherence
This understanding is crucial in developing strategies to improve adherence
especially considering the unique challenges male breast cancer patients may face
The finding in our study that adherence to CDK4/6i was not significantly associated with age
is a notable observation in the context of breast cancer treatment
This outcome aligns interestingly with other publications as the adherence of older women to CDK4/6i in our study is encouraging
especially considering the potential survival benefits highlighted by Petrelli et al
The high adherence rate among older women in our study may reflect the effectiveness of these medications on quality of life
or possibly a good understanding and acceptance of treatment regimens among older patients
This observation is important as it suggests that age alone may not be a significant barrier to adherence in the context of CDK4/6i therapy
emphasizing the need for personalized treatment approaches that account for individual patient profiles rather than solely age-based strategies
Adherence to CDK 4/6i was significantly associated with the follow-up. This aligns with the findings from other studies (Eliassen et al., 2023) which highlights that adherence and persistence to endocrine treatment are critical for improving event-free and overall survival in non-metastatic breast cancer patients
it is plausible that the patients in our study who demonstrated better adherence over extended treatment periods might have experienced improved health outcomes
This potential link between sustained adherence and survival emphasizes the importance of strategies to enhance and maintain adherence in breast cancer treatment
patients may begin to see the benefits or stabilization of their condition
reinforcing their trust in the effectiveness of the therapy and motivating them to adhere to the regimen
Based on these results, different interventions could be developed to enhance CDK4/6i adherence. A mobile health intervention was tested integrating a connected electronic adherence monitoring smartbox and automated texting alerts, resulting a palbociclib adherence of 95.8% ± 7.6% (Sadigh et al., 2023)
the reported barriers were inconvenience to get prescription filled
Our results regarding the adherence to palbociclib were 92.5% ± 13.7%
but without any interventions and costs could not be among the barriers because the drugs are free
The Romanian National Oncology Program covers these medicines for people diagnosed with cancer
being fully reimbursed by the National Health Insurance House in Romania
Inherent limitations of real-world analyses using data collected during providing reimbursed drugs include the lack of important information (the stage of the disease)
and variations in follow-up/short duration of follow-up
Despite these limitations from the information extracted from our data sources
our results are the beginning of future research in measuring CDK 4/6i adherence
The original contributions presented in the study are included in the article/Supplementary material
further inquiries can be directed to the corresponding authors
The studies involving humans were approved by the Ethics Committee of the University of Medicine and Pharmacy of Craiova
The studies were conducted in accordance with the local legislation and institutional requirements
Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements
The author(s) declare financial support was received for the research
The Article Processing Charges were funded by the University of Medicine and Pharmacy of Craiova
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations
Any product that may be evaluated in this article
or claim that may be made by its manufacturer
is not guaranteed or endorsed by the publisher
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Received: 27 November 2023; Accepted: 12 February 2024;Published: 23 February 2024
Copyright © 2024 Turcu-Stiolica, Udristoiu, Subtirelu, Gheorman, Aldea, Dumitrescu, Volovat, Median and Lungulescu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use
*Correspondence: Ion Udristoiu, aW9uLnVkcmlzdG9pdUB1bWZjdi5ybw==; Adina Turcu-Stiolica, YWRpbmEudHVyY3VAdW1mY3Yucm8=
†These authors have contributed equally to this work
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations
Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher
94% of researchers rate our articles as excellent or goodLearn more about the work of our research integrity team to safeguard the quality of each article we publish