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1.
J Cell Biochem ; 2020 Apr 29.
Artigo em Inglês | MEDLINE | ID: mdl-32348599

RESUMO

Current studies indicate that long non-coding RNA (lncRNA) is often abnormally expressed in hepatocellular carcinoma (HCC). We intend to generate a multi-lncRNA signal to improve the prognosis of HCC. By analyzing 12 pairs of HCC and adjacent normal mucosal tissues, 3900 differentially expressed lncrnas were identified as candidate biomarkers for the prognosis of HCC. Then, the 12-lncrna signature was constructed using the LASSO Cox regression method and verified in the TCGA training dataset. Finally, we established a novel 12-lncrna signature that was significantly associated with overall survival (OS) in the training data set. With the use of 12-lncrna markers, patients in the training cohort were divided into high-risk and low-risk groups with significant OV differences (P < .0001). Similar results were consistent in the TCGA verification dataset (P = .046). Multivariate Cox model was used to analyze and construct the risk scores of selected key lncRNA and AJCC stages. The results showed that, compared with AJCC stages, lncRNA-based risk scores were another important factor affecting the OS of patients. We found that risk scores based on lncRNA have a stronger prediction ability than the AJCC stage alone on 4-year OS. For 4-year survival rates, prediction combined with the lncRNA risk score and AJCC stage, model effectiveness (sensitivity and specificity) has reached to 0.750. To further explore the biological processes involved in prognostic lncRNA, all HCC samples in TCGA are divided into two groups according to the median lncRNA risk score, and analyzed the gene enrichment of high expression genes and low expression genes in KEGG data using goana in limma. The results suggest that the genes associated with tumor pathways, such as PI3K-Akt and ECM-receptor interaction, are highly expressed in the high risk group.

2.
Autoimmun Rev ; 19(6): 102532, 2020 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32234402

RESUMO

The human leukocytes antigen (HLA)-DRB1*16:02 allele has been suggested to be associated with many autoimmune diseases. However, a validation of the results of the different studies by a comprehensive analysis of the corresponding meta data is lacking. In this study, we performed a meta-analysis of the association between HLA-DRB1*16:02 allele with various autoimmune disorders. Our analysis shows that HLA-DRB1*16:02 allele was associated with systemic lupus erythematosus, anti-N-Methyl-d-Aspartate receptor (NMDAR) encephalitis, Graves' disease, myasthenia gravis, neuromyelitis optica and antibody-associated systemic vasculitis with microscopic polyangiitis (AASV-MPA). However, no such association was found for multiple sclerosis, autoimmune hepatitis type 1, rheumatoid arthritis, type 1 diabetes and Vogt-Koyanagi-Harada syndrome. Re-analysis of the studies after their categorization into autoantibody-dependent and T cell-dependent autoimmune diseases revealed that the HLA-DRB1*16:02 allele was strongly associated with disorder predominantly mediated by autoantibodies (OR = 1.93; 95% CI = 1.63-2.28, P = 1.95 × 10-14) but not with those predominantly mediated by T cells (OR = 1.08; 95% CI = 0.87-1.34, P = .474). In addition, amino acid sequence alignment of common HLA-DRB1 subtypes demonstrated that HLA-DRB1*16:02 carries a unique motif of amino acid residues at position 67-74 which encodes the third hypervariable region. Taken together, the distinct pattern of disease association and the unique amino acid sequence of the third hypervariable region of the HLA-DRB1 provide some hints on how HLA-DRB1*16:02 is involved in the pathogenesis of autoimmune diseases.

3.
ACS Synth Biol ; 2020 May 07.
Artigo em Inglês | MEDLINE | ID: mdl-32302487

RESUMO

Genome sequencing and bioinformatics tools have facilitated the identification and expression of an increasing number of cryptic biosynthetic gene clusters (BGCs). However, functional analysis of all components of a metabolic pathway to precisely determine biocatalytic properties remains time-consuming and labor intensive. One way to speed this process involves microscale cell-free protein synthesis (CFPS) for direct gene to biochemical function analysis, which has rarely been applied to study multicomponent enzymatic systems in specialized metabolism. We sought to establish an in vitro transcription/translation (TT)-assay to assess assembly of cyanobacterial-derived hapalindole-type natural products (cNPs) because of their diverse bioactivity profiles and complex structural diversity. Using a CFPS system including a plasmid bearing famD2 prenyltransferase from Fischerella ambigua UTEX 1903, we showed production of the central prenylated intermediate (3GC) in the presence of exogenous geranyl-pyrophosphate (GPP) and cis-indole isonitrile. Further addition of a plasmid bearing the famC1 Stig cyclase resulted in synthesis of both FamD2 and FamC1 enzymes, which was confirmed by proteomics analysis, and catalyzed assembly of 12-epi-hapalindole U. Further combinations of Stig cyclases (FamC1-C4) produced hapalindole U and hapalindole H, while FisC identified from Fischerella sp. SAG46.79 generated 12-epi-fischerindole U. The CFPS system was further employed to screen six unnatural halogenated cis-indole isonitrile substrates using FamC1 and FisC, and the reactions were scaled-up using chemoenzymatic synthesis and identified as 5- and 6-fluoro-12-epi-hapalindole U, and 5- and 6-fluoro-12-epi-fischerindole U, respectively. This approach represents an effective, high throughput strategy to determine the functional role of biosynthetic enzymes from diverse natural product BGCs.

5.
J Hazard Mater ; 394: 122541, 2020 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-32220703

RESUMO

Redox properties play a critical part in enabling biochar to participate in geochemical redox cycles. To manufacture biochar with targeted redox properties, it is essential to define the correlation of redox properties with the structure and moieties of biochar. However, previous studies focused on moieties, while structural parameters were overlooked. Furthermore, most publications used a single-factor analysis for certain types of moieties with other moieties possibly ignored. Herein, four kinds of representative biomass components, cellulose, lignin, casein, and starch, were pyrolyzed at low, intermediate, and high temperatures to obtain biochar with distinct structures and moieties. Then, the partial least-squares modeling was implemented to evaluate the quantitative contributions of structure and moieties to redox properties with the results obtained by characterizing the biochar. In addition to redox-active moieties, specific surface area was also found to be critical to the redox properties. The cellulose-derived chars exhibited better electron-donating capacities, while the lignin-derived chars exhibited better electron-accepting capacities. The starch-derived chars pyrolyzed at 700℃ possessed both high electron-donating and electron-accepting capacities. The casein-derived biochar exhibited weak redox capacities. These findings show the importance of structural influences on the redox properties and provide feedstock choices when applying and producing biochar with targeted redox properties.

6.
Nanoscale ; 12(12): 6810-6820, 2020 Mar 28.
Artigo em Inglês | MEDLINE | ID: mdl-32182327

RESUMO

Developing low-cost electrocatalysts with outstanding electrochemical performance for water splitting over a wide pH range is urgently desired to meet the practical needs in different areas. Herein, a highly efficient hierarchical flower-like CoS2@MoS2 core-shell nanostructured electrocatalyst is fabricated by a two-step strategy, in which MoS2 nanosheets with a layered structure are grown on the CoS2 core supported on carbon paper (CP) and used as hydrogen evolution reaction (HER) electrocatalysts working in the whole pH range (0-14). Remarkably, benefiting from the interface-engineering in this 3D core-shell structure of the electrocatalyst, the optimum CoS2@MoS2/CP catalyst exhibits outstanding HER activity over a wide range of pH values and an overpotential of 69 mV in acidic solution, 145 mV in neutral solution and 82 mV in alkaline solution, respectively, to afford the standard current density of 10 mA cm-2. Furthermore, it demonstrates superior stability under different pH conditions for at least 48 h. Density functional theory (DFT) calculations are performed to gain further insight into the effect of CoS2@MoS2 interfaces, revealing that the strong interfacial interaction between CoS2 and MoS2 dramatically reduces the Gibbs free energy of hydrogen adsorption and the energy barrier for water dissociation, thus enhancing the electrochemical HER activity in the whole pH range (0-14).

7.
Analyst ; 145(8): 2975-2981, 2020 Apr 14.
Artigo em Inglês | MEDLINE | ID: mdl-32118243

RESUMO

DNA walkers, one of the artificial molecular machines which are constructed via smart synthetic DNA, have attracted rapidly growing attention from researchers in the biosensing field. In this work, we design an Exonuclease III (Exo III)-aided target-aptamer binding recycling (ETBR) activated bipedal DNA machine for highly sensitive electrochemical detection of antibiotics. To the best of our knowledge, this is the first time that a bipedal DNA machine has been applied in electrochemical sensing for antibiotics. On the one hand, the bipedal DNA walker exceeds the conventional single swing arm DNA walker in terms of walking efficiency and stability. On the other hand, the ETBR strategy, along with efficient strand displacement amplification via stepwise movement of a bipedal DNA walker significantly promotes the signal amplification efficiency. Under optimal conditions, this bipedal DNA machine possesses a detection limit of 7.1 fM within a linear detection range from 10 fM to 100 pM. Moreover, this electrochemical biosensor is expected to detect a wide variety of analytes using the corresponding target recognition probes. Thus, our proposed strategy offers a highly efficient, stable and practical platform for small molecule analysis.

8.
Mikrochim Acta ; 187(3): 193, 2020 03 02.
Artigo em Inglês | MEDLINE | ID: mdl-32124067

RESUMO

An ultrasensitive fluorescence sensing strategy for kanamycin (KANA) determination using endonuclease IV (Endo IV)-powered DNA walker, and hybridization chain reaction (HCR) amplification was reported. The sensing system consists of Endo IV-powered 3D DNA walker using for the specific recognition of KANA and the formation of the initiators, two metastable hairpin probes as the substrates of HCR and a tetrahydrofuran abasic site (AP site)-embeded fluorescence-quenched probe for fluorescence signal output. On account of this skilled design of sensing system, the specific binding between KANA and its aptamer activates DNA walker, in which the swing arm can move autonomously along the 3D track via Endo IV-mediated hydrolysis of the anchorages, inducing the formation of initiators that initiates HCR and the following Endo IV-assisted cyclic cleavage of fluorescence reporter probes. The use of Endo IV offers the advantages of simplified and accessible design without the need of specific sequence in DNA substrates. Under the optimal experimental conditions, the fluorescence biosensor shows excellent sensitivity toward KANA detection with a detection limit as low as 1.01 pM (the excitation wavelength is 486 nm). The practical applicability of this strategy is demonstrated by detecting KANA in spiked milk samples with recovery in the range of 98 to 102%. Therefore, this reported strategy might create an accurate and robust fluorescence sensing platform for trace amounts of antibiotic residues determination and related safety analysis. Graphical abstract Highly efficient fluorescence sensing of kanamycin using Endo IV-powered DNA Walker and hybridization chain, reaction amplification, Xiaonan Qu, Jingfeng Wang, Rufeng Zhang, Yihan Zhao, Shasha Li, Yu Wang, Su Liu*, Jiadong Huang, and Jinghua Yu, an ultrasensitive fluorescence sensing strategy for kanamycin determination using endonuclease IV-powered DNA walker, and hybridization chain reaction amplification is reported.

9.
Nanoscale ; 2020 Feb 24.
Artigo em Inglês | MEDLINE | ID: mdl-32091526

RESUMO

Two-dimensional (2D) materials, such as graphene, transition metal dichalcogenides, black phosphorus and hexagonal boron nitride, have been intensively investigated as building blocks for optoelectronic devices in the past few years. Very recently, significant efforts have been devoted to the improvement of the optoelectronic performances of 2D materials, which are restricted by their intrinsically low light absorption due to the ultrathin thickness. Making use of the plasmonic effects of metal nanostructures and intrinsic plasmon excitation in graphene has been shown to be one of the promising strategies. In this minireview, recent progress in 2D material-based optoelectronics enabled by the plasmonic effects is highlighted. A perspective on more possibilities in plasmon-assisted 2D material-based optoelectronic applications will also be provided.

10.
Anal Chim Acta ; 1104: 156-163, 2020 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-32106947

RESUMO

A novel fluorescence sensing strategy for ultrasensitive and highly specific detection of adenosine triphosphate (ATP) has been developed by the combination of the proximity ligation assay with bidirectional enzymatic repairing amplification (BERA). The strategy relies on proximity binding-triggered the release of palindromic tail that initiates bidirectional cyclic enzymatic repairing amplification reaction with the aid of polymerase and two DNA repairing enzymes, uracil-DNA glycosylase (UDG) and endonuclease IV (Endo IV). A fluorescence-quenched hairpin probe with a palindromic tail at the 3' end is skillfully designed that functions as not only the recognition element, primer, and polymerization template for BERA but also the indicator for fluorescence signal output. On the basis of the amplification strategy, this biosensor displays excellent sensitivity and selectivity for ATP detection with an outstanding detection limit of 0.81 pM. Through simultaneously enhancing the target response signal value and reducing nonspecific background, this work deducted the background effect, and showed high sensitivity and reproducibility. Moreover, our biosensor also shows promising potential in real sample analysis. Therefore, the proximity-enabled BERA strategy indeed creates a simple and valuable fluorescence sensing platform for ATP identification and related disease diagnosis and biomedical research.

11.
Artigo em Inglês | MEDLINE | ID: mdl-32052896

RESUMO

Stereospecific polycyclic core formation of hapalindoles and fischerindoles is controlled by Stig cyclases through a three-step cascade involving Cope rearrangement, 6-exo-trig cyclization, and a final electrophilic aromatic substitution. Reported here is a comprehensive study of all currently annotated Stig cyclases, revealing that these proteins can assemble into heteromeric complexes, induced by Ca2+ , to cooperatively control the stereochemistry of hapalindole natural products.

12.
J Biomed Inform ; 104: 103395, 2020 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32109551

RESUMO

Medical named entity recognition (NER) in Chinese electronic medical records (CEMRs) has drawn much research attention, and plays a vital prerequisite role for extracting high-value medical information. In 2018, China Health Information Processing Conference (CHIP2018) organized a medical NER academic competition aiming to extract three types of malignant tumor entity from CEMRs. Since the three types of entity are highly domain-specific and interdependency, extraction of them cannot be achieved with a single neural network model. Based on comprehensive study of the three types of entity and the entity interdependencies, we propose a collaborative cooperation of multiple neural network models based approach, which consists of two BiLSTM-CRF models and a CNN model. In order to tackle the problem that target scene dataset is small and entity distributions are sparse, we introduce non-target scene datasets and propose sentence-level neural network model transfer learning. Based on 30,000 real-world CEMRs, we pre-train medical domain-specific Chinese character embeddings with word2vec, GloVe and ELMo, and apply them to our approach respectively to validate effects of pre-trained language models in Chinese medical NER. Also, as control experiments, we apply Gated Recurrent Unit to our approach. Finally, our approach achieves an overall F1-score of 87.60%, which is the state-of-the-art performance to the best of our knowledge. In addition, our approach has won the champion of the medical NER academic competition organized by 2019 China Conference on Knowledge Graph and Semantic Computing, which proves the outstanding generalization ability of our approach.

13.
World J Gastroenterol ; 26(5): 535-549, 2020 Feb 07.
Artigo em Inglês | MEDLINE | ID: mdl-32089629

RESUMO

BACKGROUND: There are few effective tools to predict survival in patients with invasive intraductal papillary mucinous neoplasms of the pancreas. AIM: To develop comprehensive nomograms to individually estimate the survival outcome of patients with invasive intraductal papillary mucinous neoplasms of the pancreas. METHODS: Data of 1219 patients with invasive intraductal papillary mucinous neoplasms after resection were extracted from the Surveillance, Epidemiology, and End Results database, and randomly divided into the training (n = 853) and the validation (n = 366) cohorts. Based on the Cox regression model, nomograms were constructed to predict overall survival and cancer-specific survival for an individual patient. The performance of the nomograms was measured according to discrimination, calibration, and clinical utility. Moreover, we compared the predictive accuracy of the nomograms with that of the traditional staging system. RESULTS: In the training cohort, age, marital status, histological type, T stage, N stage, M stage, and chemotherapy were selected to construct nomograms. Compared with the American Joint Committee on Cancer 7th staging system, the nomograms were generally more discriminative. The nomograms passed the calibration steps by showing high consistency between actual probability and nomogram prediction. Categorial net classification improvements and integrated discrimination improvements suggested that the predictive accuracy of the nomograms exceeded that of the American Joint Committee on Cancer staging system. With respect to decision curve analyses, the nomograms exhibited more preferable net benefit gains than the staging system across a wide range of threshold probabilities. CONCLUSION: The nomograms show improved predictive accuracy, discrimination capability, and clinical utility, which can be used as reliable tools for risk classification and treatment recommendations.

14.
Cell Res ; 30(1): 34-49, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31811277

RESUMO

Metastasis, the development of secondary malignant growths at a distance from a primary tumor, is the cause of death for 90% of cancer patients, but little is known about how metastatic cancer cells adapt to and colonize new tissue environments. Here, using clinical samples, patient-derived xenograft (PDX) samples, PDX cells, and primary/metastatic cell lines, we discovered that liver metastatic colorectal cancer (CRC) cells lose their colon-specific gene transcription program yet gain a liver-specific gene transcription program. We showed that this transcription reprogramming is driven by a reshaped epigenetic landscape of both typical enhancers and super-enhancers. Further, we identified that the liver-specific transcription factors FOXA2 and HNF1A can bind to the gained enhancers and activate the liver-specific gene transcription, thereby driving CRC liver metastasis. Importantly, similar transcription reprogramming can be observed in multiple cancer types. Our data suggest that reprogrammed tissue-specific transcription promotes metastasis and should be targeted therapeutically.

15.
Org Lett ; 22(1): 98-101, 2020 Jan 03.
Artigo em Inglês | MEDLINE | ID: mdl-31829608

RESUMO

The recently discovered antibiotic burnettramic acid A (1) and three new congeners, burnettramic acids C-E (2-4), were identified from the co-cultures of two marine Aspergillus strains. The structure of burnettramic acid A was revised on the basis of reinterpretation of the nuclear magnetic resonance (NMR) data and chemical derivatization. The full absolute configurations of burnettramic acids were established using the Mosher ester method and Marfey's analysis, combined with density functional theory calculation of NMR and electric circular dichroism data.

16.
J Colloid Interface Sci ; 561: 211-219, 2020 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-31816466

RESUMO

Composites of MOFs and aerogels (MOFACs), as a new class of nanostructured materials, attract increasing attention due to their favorable adsorption properties. Herein, UiO-66-NH2-CS aerogel monolith (UNCAM) was synthesized by covalent crosslinking with hierarchical structure, exhibiting effective and stable adsorption of Pb(II) ions. The aerogel monolith containing 50% MOF particles possesses a ultra-low density of 15.8 mg·cm-3, which is mainly attributed to the highly porous structure. Meantime, UNCAM can be described more suitable by the pseudo-second-order model and shows a higher mass transfer rate. The highest Pb(II) adsorption capacity of aerogel monolith is up to 102.03 mg·g-1 (1.612 × 106 mg·m-3), which is comparable to literature reports. The adsorption of Pb(II) by UNCAM is an endothermic and spontaneous process and consistent with the Langmuir model, indicating that the adsorption process belongs to monolayer adsorption and chemisorption. Furthermore, the adsorption mechanisms of coordination interaction between N and Pb (II) were confirmed, and the O also played a synergistic role in adsorption on a certain degree. Lastly, The UNCAM retained 90.12% adsorption ability after three cycles. This strategy may provide an effective and versatile pathway to convert the bulk MOF particles into a shapeable form and sequentially branch out their applications in pollutant treatment fields.

17.
J Nanosci Nanotechnol ; 20(5): 2832-2839, 2020 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-31635619

RESUMO

Magnetic NiFe2O4 nanoparticles were successfully prepared via the coprecipitation process with ferric nitrate, nickel nitrate, and sodium hydroxide as raw materials, and they were characterized by the scanning electron microscopy (SEM), the transmission electron microscope (TEM), the X-ray diffraction (XRD), the vibrating sample magnetometer (VSM), the energy dispersive spectroscopy (EDS) and the Brunauer-Emmett-Teller (BET). The magnetic NiFe2O4 nanoparticles were employed to research the adsorption performance of reactive red 2BF (RR-2BF) onto them, and they revealed very large adsorption capacity of RR-2BF. The adsorption kinetics data were evaluated with the pseudo first-order, the pseudo second-order and the intraparticle diffusion models, and the results showed that the pseudo second-order kinetics model was best fitted for the adsorption of RR-2BF onto magnetic NiFe2O4 nanoparticles. While, the adsorption isotherm experiments were carried out at room temperature, and the experimental data conformed to the Langmuir model, which suggested that the adsorption of RR-2BF onto magnetic NiFe2O4 nanoparticles was the monolayer adsorption process. The magnetic NiFe2O4 nanoparticles revealed good reusability, and the adsorption capacity was maintained over 80% of the initial capacity after being used for five cycles.

18.
J Colloid Interface Sci ; 560: 59-68, 2020 Feb 15.
Artigo em Inglês | MEDLINE | ID: mdl-31639565

RESUMO

Membrane filtration is an effective method for eliminating contaminants from water, but its performance is restricted by the trade-off between permeability and selectivity, as well as the serious membrane fouling. In this work, a novel porous carbon membrane (PCM) was constructed by coating porous carbon derived from metal-organic frameworks on ceramic membrane support. The PCM possessed good electrical conductivity, large surface area and hierarchical porous structure, making it promising to couple membrane filtration with electrochemistry for improved water treatment. Under electrochemical assistance, the PCM displayed enhanced selectivity and antifouling capability towards the water treatment. At -1.5 V, the PCM showed enhanced removal and reduced flux loss for the removal of suspended particles with size comparable to membrane pore size. Moreover, the PCM under +1.5 V exhibited effective removal of the organic chemicals unfavorable for size-exclusion by the membrane, whose removal efficiencies towards phenol and methyl orange were 3.0 and 3.3 times higher than those without voltage supply, respectively. The PCM with electrochemical assistance also displayed superior performance than PCM alone in real water treatment. The outstanding performance of the PCM under electrochemical assistance was mainly owing to its large electro-active surface area and enhanced mass transfer rate.

19.
J Vis Exp ; (153)2019 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-31814610

RESUMO

Functional magnetic resonance imaging (fMRI) is a non-invasive magnetic resonance imaging technique that images brain activation in vivo, using endogenous deoxyhemoglobin as an endogenous contrast agent to detect changes in blood-level-dependent oxygenation (BOLD effect). We combined fMRI with a novel robotic device (MR-compatible hand-induced robotic device [MR_CHIROD]) so that a person in the scanner can execute a controlled motor task, hand-squeezing, which is a very important hand movement to study in neurological motor disease. We employed parallel imaging (generalized auto-calibrating partially parallel acquisitions [GRAPPA]), which allowed higher spatial resolution resulting in increased sensitivity to BOLD. The combination of fMRI with the hand-induced robotic device allowed precise control and monitoring of the task that was executed while a participant was in the scanner; this may prove to be of utility in rehabilitation of hand motor function in patients recovering from neurological deficits (e.g., stroke). Here we outline the protocol for using the current prototype of the MR_CHIROD during an fMRI scan.

20.
Onco Targets Ther ; 12: 10077-10087, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31819502

RESUMO

Background: The pretreatment aspartate aminotransferase-to-alanine aminotransferase (De Ritis) ratio is reportedly valuable in prognosis prediction of various malignancies. However, its value in the prognosis of nasopharyngeal carcinoma (NPC) has not yet been reported. This study aimed to evaluate the effect of the De Ritis ratio on the survival outcomes of patients with nonmetastatic NPC. Methods: We retrospectively reviewed the medical data of 1023 patients with nonmetastatic NPC admitted between 2009 and 2013 at a single center. The Fine and Gray competing risk regression model was used to analyze the associations between the De Ritis ratio and the survival outcomes of cancer-specific survival (CSS) and progression-free survival (PFS) by using the subdistribution hazard ratio (SHR) and 95% confidence interval (CI) as size effects. The Cox proportional hazard model was used to evaluate the correlation between the De Ritis ratio and overall survival (OS) by using hazard ratio (HR) and 95% CI as size effects. Results: Patients were divided into two groups in accordance with the pretreatment De Ritis ratio by using an optimal cutoff value of 1.65. Compared with the patients with low De Ritis ratio (< 1.65), those with elevated De Ritis ratio (≥ 1.65) had poorer prognosis with regard to CSS, PFS, and OS. Notably, multivariate analyses showed that high De Ritis ratio was independently associated with poor CSS (SHR = 1.64, 95% CI: 1.25-2.16), PFS (SHR = 1.69, 95% CI: 1.30-2.19), and OS (HR = 1.81, 95% CI: 1.39-2.40). Conclusion: Pretreatment De Ritis ratio can be an independent prognostic predictor for patients with nonmetastatic NPC.

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