ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

BackgroundAlcohol use disorder （AUD） is a common chronic and relapsing psychiatric disorders. Identifying severe AUD early and intervening promptly is crucial to prevent irreversible harm. Currently， the assessment of AUD severity primarily relies on psychiatric examination by clinicians， and there is limited research on the factors influencing AUD severity and the development of prediction models. ObjectiveTo analyze the factors influencing AUD severity， and construct a risk prediction model to aid in the assessment of disease progression in AUD patients. MethodsA retrospective analysis was conducted on 1 358 first-time hospitalized patients admitted to Nanning Fifth People's Hospital from January 1， 2017 to December 31， 2022. These patients met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） criteria for AUD. Basic patient data was collected， and the patients were divided into two groups based on disease severity： mild-moderate group （n=330） and severe group （n=1 028）. The patients were randomly divided into training and test sets in a 7∶3 ratio. A Logistic regression model was constructed in the training set， and the predictive ability of the model for disease severity was evaluated using the receiver operating characteristic （ROC） curve in the test set. ResultsCompared with the mild-moderate group， the severe group had a higher proportion of patients living in urban areas （χ²=7.804）， were farmers （χ²=17.991）， had a higher frequency of alcohol consumption （more than 1 to 2 drinks/day） （χ²=35.267）， had a higher age at first drinking （t=-3.858）， had a greater number of comorbid somatic disorders （Z=-22.782）， and had higher proportions of γ-Glutamyl transpeptidase （χ²=259.940） and total bilirubin abnormalities （χ²=148.552） （P<0.01）. Logistic analysis conducted in the training set showed that being a farmer （OR=2.024， 95% CI： 1.352~3.029）， having an older age at first drinking （OR=1.075， 95% CI： 1.025~1.129）， drinking outside of mealtimes （OR=3.988， 95% CI： 2.408~6.606）， having total bilirubin abnormalities （OR=1.034， 95% CI： 1.000~1.069）， and having more comorbid somatic diseases （OR=4.386， 95% CI： 2.636~7.298） were identified as risk factors for disease severity in AUD patients. The area under curve （AUC） for this model in the test set was 0.906. ConclusionIn psychiatric hospitals， being a farmer， having an older age at first drinking， drinking outside of mealtimes， having abnormal total bilirubin levels， and having comorbidities with somatic illnesses may be risk factors for severe AUD.

ObjectiveTo analyze the correlation between 11 small molecule active components and 1 protein component of characteristic processed products with porcine cardiac blood and other products of Salviae Miltiorrhizae Radix et Rhizoma（SMRR） from Menghe medical school and anti-cerebral ischemic oxidative damage， and to identify its key component markers of characteristic processed products with porcine cardiac blood for anti-cerebral ischemic oxidative damage. MethodHigh performance liquid chromatography（HPLC） was established to simultaneously determine the contents of 11 active ingredients in SMRR and its processed products［processed with porcine cardiac blood， porcine blood， wine and transferrin（Tf） in porcine cardiac blood］， and the content of Tf in different processed products of SMRR was detected by enzyme-linked immunosorbent assay（ELISA）. Furthermore， A zebrafish ischemic stroke model was constructed to evaluate the effects of different processed products of SMRR on the behavioral trajectory of cerebral ischemic zebrafish， the neuronal damage of transgenic zebrafish Tg（elavl3：eGFP） brain， as well as the levels of malondialdehyde（MDA） and superoxide dismutase（SOD） in the brain tissues. The hippocampal neurons oxygen-glucose deprivation/reoxygenation（OGD/R）-induced ischemia-hypoxia model was constructed to evaluate the effects of different processed products of SMRR on oxidative damage of neuronal cells by taking lactate dehydrogenase（LDH）， reactive oxygen species（ROS）， MDA and SOD as indexes. Finally， principal component analysis（PCA）， partial least squares-discriminant analysis（PLS-DA） and Spearman correlation analysis were used to analyze the 11 small molecule active components and 1 protein component with efficacy indicators， in order to screen the key components of the characteristic processed products with porcine cardiac blood for cerebral ischemic oxidative damage. ResultCompared with the raw products， the contents of water-soluble and fat-soluble components in processed products of SMRR increased to different degrees， while the content of salvianolic acid A decreased. Compared with the wine-processed products， the contents of salvianolic acid B， danshensu， rosmarinic acid and other components in the porcine cardiac blood-processed products， porcine blood-processed products， Tf-processed products were increased， while the content of salvianolic acid A was decreased. ELISA results showed that there was no significant difference in Tf content between the porcine cardiac blood-processed products， porcine blood-processed products， Tf-processed products. Pharmacological results showed that different processed products of SMRR could improve the behavioral deficits， brain neuronal injury and oxidative stress after ischemic stroke in zebrafish， and the effect of the porcine cardiac blood-processed products was most pronounced. PCA results showed that salvianolic acid B， salvianolic acid A， rosmarinic acid， lithospermic acid， danshensu， tanshinone Ⅱ_A， caffeic acid， cryptotanshinone and tanshinone Ⅰ were the main contributing components of SMRR and its processed products. And the results of correlation analysis showed that the contents of cryptotanshinone， rosmarinic acid， caffeic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A and tanshinone Ⅰ were negatively correlated with MDA level in zebrafish brain tissue， while the contents of lithospermic acid， protocatechuic aldehyde， rosmarinic acid， dihydrotanshinone Ⅰ， salvianolic acid B and Tf were positively correlated with SOD level， and the contents of rosmarinic acid， caffeic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A， tanshinone Ⅰ， danshensu， Tf were positively correlated with neuronal fluorescence intensity in the zebrafish brain. And the contents of lithospermic acid， protocatechuic aldehyde， rosmarinic acid， dihydrotanshinone Ⅰ， salvianolic acid B， tanshinone Ⅱ_A and Tf were negatively correlated with LDH， ROS and MDA levels and positively correlated with SOD level. ConclusionThere are differences in the anti-ischemic oxidative damage effects of SMRR and its different processed products， among which the porcine cardiac blood-processed products has the strongest effect on improving oxidative damage， which may be related to the content changes of salvianolic acid B， danshensu， rosmarinic acid and other components. This study can provide a basis for clarifying the quality markers of SMRR processed with porcine cardiac blood for cerebral ischemia and elucidating its processing mechanism.

Objective To investigate age-and sex-related changes in choroid plexus(CP)volume in healthy adults,as well as its association with the volumes of other brain regions,and explore the relationship of CP volume changes with degenerative brain alterations.Methods A total of 320 healthy subjects aged between 18 and 85 years were prospectively recruited in Physical Examination Center of First Affiliated Hospital to Army Medical University during August 2023 and February 2024.These participants were randomly divided into 7.OT and 3.OT groups,with 160 people in each group.After all of them underwent sagittal three-dimensional structural MPRAGE scans of magnetic resonance imaging(MRI)at 3.OT or7.OT,FreeSurfer 6.0 segmentation software was employed to obtain the volumes of CP and other brain regions automatically.Spearman analysis was applied to analyze the correlation of CP volume with age.Independent sample t-test analysis was applied to analyze the differences in CP volume between genders.Partial correlation analysis was performed to analyze the correlation between CP volume and the volumes of other brain regions.Results A total of 311 subjects were included in the study.The results from both 3.OT and 7.OT MRI showed that CP volume was positively correlated with age(3.OT:r=0.462,P＜0.001;7.OT:r=0.539,P＜0.001).The males had significantly larger CP volume than the females(3.OT:1.4±0.47 vs 1.08±0.39 mL,P＜0.001;7.OT:2.43±0.68 vs 1.98±0.38 mL,P＜0.001).In addition,3.OT MRI revealed there was a significant positive correlation of CP volume with the volumes of white matter hyperintensities(WMH)and cerebrospinal fluid(P＜0.001),as well as a negative correlation with the volumes of gray matter,white matter,hippocampus and thalamus(P＜0.05).Conclusion CP volume is increased with ageing,with gender differences,independent of field strength and resolution.CP volume is correlated with WMH,hippocampus and other brain regions,suggesting that increment in CP volume is involved in age-related degenerative changes in the brain.Changes in CP volume might be regarded as a new imaging marker for the neurodegenerative changes.

Objective To investigate the distribution of traditional Chinese medicine(TCM)syndromes in patients with type 2 diabetic retinopathy(T2DR)and to explore the correlation of TCM syndromes with serum inflammatory factors and adiponectin(APN)levels,so as to provide evidence for TCM syndrome differentiation of T2DR.Methods A cross-sectional case-control study was conducted in 42 patients(involving 84 eyes)diagnosed as T2DR in the Department of Ophthalmology,Ganzhou People's Hospital from September 2022 to March 2023.The correlation between fundus fluorescein angiography(FFA)staging and TCM syndrome differentiation in patients with T2DR was explored.The relationship between TCM syndrome types and serum levels of inflammatory factors and APN,as well as the differences in serum inflammatory factors and APN levels of the patients with various FFA stages were analyzed.The correlation between each variable and TCM syndrome types in patients with T2DR was investigated.Results(1)Among the 42 patients with T2DR,27 cases were male and 15 cases were female,and their age averaged(54.0±12.0)years old.Among them,14 cases(33.3％)were differentiated as liver-kidney deficiency with malnutrition of eye collateral syndrome,15 cases(35.7％)were differentiated as yin-essence deficiency with internal dry-heat syndrome,9 cases(21.4％)were differentiated as qi-yin deficiency with collateral stasis and obstruction syndrome,4 cases(9.5％)were differentiated as yin-yang deficiency with blood stasis and phlegm coagulation syndrome,and none case(0.0％)was differentiated as spleen dysfunction and water-damp obstruction syndrome.(2)FFA staging showed that FFA staging ≥ 4[i.e.,having proliferative diabetic retinopathy(PDR)]was found in 78.6％(11/14)of the patients with liver-kidney deficiency with malnutrition of eye collaterals syndrome,73.3％(11/15)of the patients with yin-essence deficiency with internal dry-heat syndrome,100％(9/9)of the patients with qi-yin deficiency with collateral stasis and obstruction syndrome,and 100％(4/4)of the patients with yin-yang deficiency with blood stasis and phlegm coagulation syndrome.But the intergroup comparison showed no significant differences among various syndrome types(P=0.272).(3)Among the 42 patients with T2DR,35 patients(83.3％)had higher level of tumor necrosis factor-α(TNF-α),28 patients(68.3％)had higher level of C-reactive protein(CRP)and 38 patients(90.5％)had higher level of glycosylated hemoglobin(HbA1c)than the normal.However,there was no significant difference in the levels of serum inflammatory factors of TNF-α,CRP,interleukin-6(IL-6)and vascular endothelial growth factor(VEGF),APN and HbA1c among the patients with different FFA stages(P＞0.05),neither did the difference in serum APN,TNF-α,CRP,IL-6 and VEGF levels among the patients with different TCM syndrome types(P＞0.05).(4)The correlation analysis showed that the patients with yin-yang deficiency with blood stasis and phlegm coagulation syndrome had a shorter course of eye diseases than the patients with liver-kidney deficiency with malnutrition of eye collaterals syndrome(r=-0.467,P=0.051),had higher CRP level than the patients with yin-essence deficiency with internal dry-heat syndrome(r=0.592,P=0.010),and had higher CRP level(r=0.668,P=0.013)and a longer course of diabetes(r=0.629,P=0.021)than the patients with qi-yin deficiency with collateral stasis and obstruction syndrome.Conclusion Increased serum TNF-α and CRP expressions are presented in the patients with T2DR.Liver-kidney deficiency with malnutrition of eye collaterals syndrome and yin-essence deficiency with internal dry-heat syndrome are the common syndromes in T2DR.Yin-yang deficiency with blood stasis and phlegm coagulation syndrome is closely correlated with CRP level,and the patients with yin-yang deficiency with blood stasis and phlegm coagulation syndrome have a longer course of diabetes.

Fragile X syndrome (FXS) is a neurodevelopmental synaptopathy caused by loss of fragile X mental retardation protein (FMRP); abnormal synaptic plasticity is the leading pathological cause of cognitive impairment, fear and anxiety, hyperactivity and stereotyped behavior in FXS patients. In recent years, breakthroughs have been made in functional study of synaptic plasticity in FXS, providing a new theoretical basis for FXS. This article mainly summarizes the dysregulation and influencing factors of synaptic plasticity in FXS, as well as the strategy of targeted synaptic plasticity in FXS, so as to deepen the understanding of medical workers.

Purpose: Patients with advanced biliary tract cancer (BTC) have a poor survival. We aim to evaluate the efficacy and safety of nab-paclitaxel plus gemcitabine and cisplatin regimen in Chinese advanced BTC patients. Materials and Methods: Eligible patients with locally advanced or metastatic BTC administrated intravenous 100 mg/m2 nab-paclitaxel, 800 mg/m2 gemcitabine, and 25 mg/m2 cisplatin every 3 weeks. The primary endpoint was progression-free survival (PFS). The secondary endpoints included overall survival (OS) and adverse events, while exploratory endpoint was the association of biomarkers with efficacy. Results: After the median follow-up of 25.0 months, the median PFS and OS of 34 enrolled patients were 7.1 months (95% confidence interval [CI], 5.4 to 13.7) and 16.4 months (95% CI, 10.9 to 23.6), respectively. The most common treatment-related adverse events at ≥ 3 grade were neutropenia (26.5%) and leukopenia (26.5%). Survival analyses demonstrated that carcinoembryonic antigen (CEA) levels could monitor patients’ survival outcomes. A significant increase in the number of infiltrating CD4+ cells (p=0.008) and a decrease in programmed death-1–positive (PD-1+) cells (p=0.032) were observed in the response patients. Conclusion In advanced BTC patients, nab-paclitaxel plus gemcitabine and cisplatin regimen showed therapeutic potential. Potential prognostic factors of CEA levels, number of CD4+ cells and PD-1+ cells may help us maximize the efficacy benefit.

This study aimed to explore the intervention effect of Chuanxiong-Chishao herb pair(CX-CS) on a myocardial infarction-atherosclerosis(MI-AS) mouse model and investigate its effect on the expression profile of circular RNAs(circRNAs)/long non-coding RNAs(lncRNAs) in ischemic myocardium and aorta. Sixty male ApoE~(-/-) mice were randomly assigned to a model group, high-, medium-, and low-dose CX-CS groups(7.8, 3.9, and 1.95 g·kg~(-1)), and a positive drug group(metoprolol 26 mg·kg~(-1) and simvastatin 5.2 mg·kg~(-1)), with 12 mice in each group. Male C57BL/6J mice were assigned to the sham group. The mice in the model group and the groups with drug intervention were fed on a high-fat diet for 10 weeks, followed by anterior descending coronary artery ligation. After that, the mice were fed on a high-fat diet for another two weeks to induce the MI-AS model. The mice in the sham group received normal feed, followed by sham surgery without coronary artery ligation. Mice in the groups with drug intervention received CX-CS or positive drug by gavage for four weeks from the 9th week of high-fat feeding, and those in the model group and the sham group received an equal volume of normal saline. Whole transcriptome sequencing was performed on the heart and aorta tissues of the medium-dose CX-CS group, the model group, and the sham group after administration. The results showed that the medium-and high-dose CX-CS groups showed improved cardiac function and reduced myocardial fibrosis area, and the medium-dose CX-CS group showed significantly reduced plaque area. CX-CS treatment could reverse the expression of circRNA＿07227 and circRNA＿11464 in the aorta of AS model and circRNA expression(such as circRNA＿11505) in the heart of the MI model. Differentially expressed circRNAs between the CX-CS-treated mice and the model mice were mainly enriched in lipid synthesis, lipid metabolism, lipid transport, inflammation, and angiogenesis in the aorta, and in angiogenesis, blood pressure regulation, and other processes in the heart. CX-CS treatment could reverse the expression of lncRNAs such as ENSMUST00000162209 in the aorta of the AS model and TCONS＿00002123 in the heart of the MI model. Differentially expressed lncRNAs between the CX-CS-treated mice and model mice were mainly enriched in lipid metabolism, angiogenesis, autophagy, apoptosis, and iron death in the aorta, and in angiogenesis, autophagy, and iron death in the heart. In summary, CX-CS can regulate the expression of a variety of circRNAs and lncRNAs, and its intervention mechanism in coronary heart disease may be related to the regulation of angiogenesis and inflammation in ischemic myocardium, as well as lipid metabolism, lipid transport, inflammation, angiogenesis in AS aorta.
Animals ; Male ; Mice ; Atherosclerosis/genetics* ; Lipids ; Mice, Inbred C57BL ; Myocardial Infarction/genetics* ; RNA, Circular/genetics* ; RNA, Long Noncoding/genetics*

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult ; Humans ; Adolescent ; Imatinib Mesylate/adverse effects* ; Incidence ; Antineoplastic Agents/adverse effects* ; Retrospective Studies ; Pyrimidines/adverse effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Treatment Outcome ; Benzamides/adverse effects* ; Leukemia, Myeloid, Chronic-Phase/drug therapy* ; Aminopyridines/therapeutic use* ; Protein Kinase Inhibitors/therapeutic use*