PBOX-sRNA-seq uncovers novel features of miRNA modification and identifies selected 5'-tRNA fragments bearing 2'-O-modification.

The concomitant cloning of RNA degradation products is a major concern in standard small RNA-sequencing practices. This not only complicates the characterization of bona fide sRNAs but also hampers cross-batch experimental replicability and sometimes even results in library construction failure. Given that all types of plant canonical small RNAs possess the 3' end 2'-O-methylation modification, a new small RNA sequencing (sRNA-seq) method, designated as PBOX-sRNA-seq, has been developed specifically to capture this modification. PBOX-sRNA-seq, as its name implies, relies on the sequential treatment of RNA samples with phenylboronic acid-polyacrylamide gel electrophoresis (PBA-PAGE) and sodium periodate (NaIO4) oxidation, before sRNA library construction and sequencing. PBOX-sRNA-seq outperformed separate treatments (i.e. PBA-PAGE only or NaIO4 only) in terms of the depletion of unmethylated RNA species and capture 2'-O-modified sRNAs with extra-high purity. Using PBOX-sRNA-seq, we discovered that nascent miRNA-5p/-3p duplexes may undergo mono-cytidylation/uridylation before 2'-O-methylation. We also identified two highly conserved types of 5'-tRNA fragments (tRF) bearing HEN1-independent 2'-O modification (mainly the 13-nt tRF-5aAla and the 26-nt tRF-5bGly). We believe that PBOX-sRNA-seq is powerful for both qualitative and quantitative analyses of sRNAs in plants and piRNAs in animals.

A Reconfigurable Bipolar Image Sensor for High-Efficiency Dynamic Vision Recognition.

Dynamic vision perception and processing (DVPP) is in high demand by booming edge artificial intelligence. However, existing imaging systems suffer from low efficiency or low compatibility with advanced machine vision techniques. Here, we propose a reconfigurable bipolar image sensor (RBIS) for in-sensor DVPP based on a two-dimensional WSe2/GeSe heterostructure device. Owing to the gate-tunable and reversible built-in electric field, its photoresponse shows bipolarity as being positive or negative. High-efficiency DVPP incorporating front-end RBIS and back-end CNN is then demonstrated. It shows a high recognition accuracy of over 94.9% on the derived DVS128 data set and requires much fewer neural network parameters than that without RBIS. Moreover, we demonstrate an optimized device with a vertically stacked structure and a stable nonvolatile bipolarity, which enables more efficient DVPP hardware. Our work demonstrates the potential of fabricating DVPP devices with a simple structure, high efficiency, and outputs compatible with advanced algorithms.

Filter-Free UV Photodetectors Based on Unipolar Barrier Van der Waals α-In2Se3/h-BN Heterostructures.

Visible-blind ultraviolet (UV) light detection has a wide application range in scenes like space environment monitoring and medical imaging. To realize miniaturized UV detectors with high performance and high integration ability, new device structures without bulky light filters need to be developed based on advanced mechanisms. Here the unipolar barrier van der Waals heterostructure (UB-vdWH) photodetector is reported that realizes filter-free visible-blind UV detection with good stability, robustness, selectivity, and high detection performance. The UB-vdWH shows a responsivity of 2452 A W-1, a photo on-off ratio of 2.94 × 105 and a detectivity of 1.26 × 1015 Jones as a UV detector, owing to the intentionally designed barrier height that suppresses dark current and photoresponse to visible light during the transport process. The good performance remains intact during 104 test cycles or even under high temperatures, which proves the stability, and robustness of the UB-vdWH, thus shows the huge potential for a wider application range.

A Three-Dimensional Neuromorphic Photosensor Array for Nonvolatile In-Sensor Computing.

In-sensor computing hardware based on emerging reconfigurable photosensors can effectively reduce redundant data and decrease power consumption, which can greatly promote the evolution of machine vision. However, because of the complex device structures and low integration abilities, the common architectures mainly lie in two dimensions, resulting in low time and area efficiencies. Here we propose a three-dimensional (3D) neuromorphic photosensor array for parallel in-sensor image processing. It is constructed on a vertical Graphite/CuInP2S6/Graphite photosensor unit, where the directional Cu+ ion migrations after voltage pulse programming enable a reconfigurable photovoltaic effect and an in-sensor computing capability. With a memristor-like device structure, van der Waals interfaces, and a high uniformity with a low crosstalk problem, a 10 × 10 array is fabricated for intelligent image recognition. Furthermore, using a vertically stacked 3D 3 × 3 × 3 array, we demonstrate an in-sensor convolution strategy with high time and area efficiencies.

Effect of Intrinsic Ferroelectric Phase Transition on Hydrogen Evolution Electrocatalysis.

Heterogeneous electrocatalysis closely relies on the electronic structure of the catalytic materials. The ferroelectric-to-paraelectric phase transition of the materials also involves a change in the state of electrons that could impact the electrocatalytic activity, but such correlation remains unexplored. Here, we demonstrate experimentally and theoretically that the intrinsic electrocatalytic activity could be regulated as exampled by hydrogen evolution reaction catalysis over two-dimensional ferroelectric CuInP2S6. The obvious discontinuity in the overpotential and apparent activation energy values for CuInP2S6 electrode are illustrated during the ferroelectric-to-paraelectric phase transition caused by copper displacement around Tc point (318 K), revealing the ferroelectro-catalytic effect on thermodynamics and kinetics of electrocatalysis. When loading Pt single atom on the CuInP2S6, the paraelectric phase one showed an improved hydrogen evolution activity with smaller apparent activation energy over the ferroelectric phase counterpart. This is attributed to the copper hopping between two sulfur planes, which alternate between strong and weak H adsorption at the Pt sites to simultaneously promote H+ reactant adsorption and H2 product desorption.

[Research on Characterization and Biocompatibility of 3D Printed Ti-6Al-4V Pelvic Prosthesis].

The treatment of bone defects caused by fractures or bone tissue lesions has always been a difficult problem in the field of orthopedics. Implantation of high-performance titanium alloy prosthesis is an effective method to treat bone defects. 3D printing technology can produce low-modulus titanium alloy implants with porous structures, providing a better solution to the above problems. This technology is convenient to design and has a huge advantage in making orthopedic implants. The article used electron beam melting in 3D printing technology to create two samples of Ti-6Al-4V prosthesis, including solid structural pelvic prosthesis and porous structural pelvic prosthesis. The mechanical properties of the prosthesis showed that the yield and tensile strengths of the rod tensile specimen were 894 MPa and 956 MPa, respectively, and the compressive modulus and compressive strength of the porous pelvic prosthesis were 55 GPa and 65.2 MPa, respectively. The results of the L929 cytotoxicity assay and the MC3T3-E1 cell adhesion assay demonstrated good biocompatibility of the prosthetic samples. New Zealand white rabbits were used to prepare the femoral joint cavity defect models and two pelvic prostheses were implanted. A microscopic CT scan 4 weeks after implantation showed that the bone defect caused by the drill had healed and that the porous structure of the pelvic prosthesis formed a new trabecular structure within the hole. In conclusion, the 3D printed Ti-6Al-4V pelvic prosthesis has excellent mechanical properties, biocompatibility, and the ability to promote new bone growth.

Crosstalk between TRPV1 and immune regulation in Fuchs endothelial corneal dystrophy.

Fuchs endothelial corneal dystrophy (FECD) is the leading indication for corneal transplantation worldwide. Our aim was to investigate the role of transient receptor potential vanilloid subtype 1 (TRPV1) and the associated immune regulation contributing to this pathological condition. Significant upregulation of TRPV1 was detected in the H2O2-induced in vitro FECD model. Based on gene expression microarray dataset GSE142538 and in vitro results, a comprehensive immune landscape was studied and a negative correlation was found between TRPV1 with different immune cells, especially regulatory T cells (Tregs). Functional analyses of the 313 TRPV1-related differentially expressed genes (DEGs) revealed the involvement of TRP-regulated calcium transport, as well as inflammatory and immune pathways. Four TRPV1-related core genes (MAPK14, GNB1, GNAQ, and ARRB2) were screened, validated by microarray dataset GSE112039 and the combined validation dataset E-GEAD-399 & 564, and verified by in vitro experiments. Our study suggested a potential crosstalk between TRPV1 and immune regulation contributing to FECD pathogenesis. The identified pivotal biomarkers and immune-related pathways provide a novel framework for future mechanistic and therapeutic studies of FECD.

Characterization of immune landscape and development of a novel N7-methylguanine-related gene signature to aid therapy in recurrent aphthous stomatitis.

OBJECTIVES: Recurrent aphthous stomatitis (RAS) is the most common inflammatory disease of the oral mucosa resulting in an impaired life quality and even leading to tumors in susceptible populations. N7-Methylguanine (m7G) plays a vital role in various cellular activities but has not yet been investigated in RAS. We aimed at picturing the immune landscape and constructing an m7G-related gene signature, and investigating candidate drugs and gene-disease association to aid therapy for RAS. METHODS: For our study, m7G-related differentially expressed genes (DEGs) were screened. We outlined the immune microenvironment and studied the correlations between the m7G-related DEGs and immune cells/pathways. We performed functional enrichment analyses and constructed the protein-protein interaction (PPI) and multifactor regulatory network in RAS. The m7G-related hub genes were extracted to formulate the corresponding m7G predictive signature. RESULTS: We obtained 11 m7G-related DEGs and studied a comprehensive immune infiltration landscape, which indicated several immune markers as possible immunotherapeutic targets. The PPI and multifactor regulatory network was constructed and 4 hub genes (DDX58, IFI27, IFIT5, and PML) were identified, followed by validation of the corresponding m7G predictive signature for RAS. GO and KEGG analyses revealed the participation of JAK-STAT and several immune-related pathways. Finally, we suggested candidate drugs and gene-disease associations for potential RAS medical interventions. CONCLUSIONS: The present study pictured a comprehensive immune infiltration landscape and suggested that m7G played a vital role in RAS through immune-related pathways. This study provided new insight for the future investigation of the mechanisms and therapeutic strategies for RAS.

Uncovering the role of transient receptor potential channels in pterygium: a machine learning approach.

OBJECTIVES: We aimed at identifying the role of transient receptor potential (TRP) channels in pterygium. METHODS: Based on microarray data GSE83627 and GSE2513, differentially expressed genes (DEGs) were screened and 20 hub genes were selected. After gene correlation analysis, 5 TRP-related genes were obtained and functional analyses of gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed. Multifactor regulatory network including mRNA, microRNAs (miRNAs) and transcription factors (TFs) was constructed. The 5 gene TRP signature for pterygium was validated by multiple machine learning (ML) programs including support vector classifiers (SVC), random forest (RF), and k-nearest neighbors (KNN). Additionally, we outlined the immune microenvironment and analyzed the candidate drugs. Finally, in vitro experiments were performed using human conjunctival epithelial cells (CjECs) to confirm the bioinformatics results. RESULTS: Five TRP-related genes (MCOLN1, MCOLN3, TRPM3, TRPM6, and TRPM8) were validated by ML algorithms. Functional analyses revealed the participation of lysosome and TRP-regulated inflammatory pathways. A comprehensive immune infiltration landscape and TFs-miRNAs-mRNAs network was studied, which indicated several therapeutic targets (LEF1 and hsa-miR-455-3p). Through correlation analysis, MCOLN3 was proposed as the most promising immune-related biomarker. In vitro experiments further verified the reliability of our in silico results and demonstrated that the 5 TRP-related genes could influence the proliferation and proinflammatory signaling in conjunctival tissue contributing to the pathogenesis of pterygium. CONCLUSIONS: Our study suggested that TRP channels played an essential role in the pathogenesis of pterygium. The identified pivotal biomarkers (especially MCOLN3) and pathways provide novel directions for future mechanistic and therapeutic studies for pterygium.

Inhibition of Ribosomal RNA Processing 15 Homolog (RRP15) Suppressed Tumor Growth, Invasion and Epithelial to Mesenchymal Transition (EMT) of Colon Cancer.

Although ribosomal RNA processing 15 Homolog (RRP15) has been implicated in the occurrence of various cancers and is considered a potential target for cancer treatment, its significance in colon cancer (CC) is unclear. Thus, this present study aims to determine RRP15 expression and biological function in CC. The results demonstrated a strong expression of RRP15 in CC compared to normal colon specimens, which was correlated with poorer overall survival (OS) and disease-free survival (DFS) of the patients. Among the nine investigated CC cell lines, RRP15 demonstrated the highest and lowest expression in HCT15 and HCT116 cells, respectively. In vitro assays demonstrated that the knockdown of RRP15 inhibited the growth, colony-forming ability and invasive ability of the CC cells whereas its overexpression enhanced the above oncogenic function. Moreover, subcutaneous tumors in nude mice showed that RRP15 knockdown inhibited the CC growth while its overexpression enhanced their growth. Additionally, the knockdown of RRP15 inhibited the epithelial-mesenchymal transition (EMT), whereas overexpression of RRP15 promoted the EMT process in CC. Collectively, inhibition of RRP15 suppressed tumor growth, invasion and EMT of CC, and might be considered a promising therapeutic target for treating CC.

Mining the potential therapeutic targets for COVID-19 infection in patients with severe burn injuries via bioinformatics analysis.

The Coronavirus Disease-19 (COVID-19) pandemic is posing a serious challenge to human health. Burn victims are susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection leading to delayed recovery and even profound debilitation. Nevertheless, the molecular mechanisms underlying COVID-19 and severe burn are yet to be elucidated. In our work, the differentially expressed genes (DEGs) were identified from GSE157852 and GSE19743, and the common DEGs between COVID-19 and severe burn were extracted. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interactions (PPI), gene coexpression network, and multifactor regulatory network analysis of hub genes were carried out. A total of 44 common DEGs were found between COVID-19 and severe burn. Functional analyses indicated that the pathways of immune regulation and cytokine response participated collectively in the development of severe burn and progression of COVID-19. Ten significant hub genes were identified, including MERTK, SIRPA, TLR3, ITGB1, DPP4, PTPRC, LY75, IFIT1, IL4R, and CD2. In addition, the gene coexpression network and regulatory network were constructed containing 42 microRNAs (miRNAs) and 2 transcription factors (TFs). Our study showed the shared pathogenic link between COVID-19 and severe burn. The identified common genes and pivotal pathways pave a new road for future mechanistic researches in severe burn injuries complicated with COVID-19.

Mechanism of Cations Suppressing Proton Diffusion Kinetics for Electrocatalysis.

Proton transfer is crucial for electrocatalysis. Accumulating cations at electrochemical interfaces can alter the proton transfer rate and then tune electrocatalytic performance. However, the mechanism for regulating proton transfer remains ambiguous. Here, we quantify the cation effect on proton diffusion in solution by hydrogen evolution on microelectrodes, revealing the rate can be suppressed by more than 10 times. Different from the prevalent opinions that proton transport is slowed down by modified electric field, we found water structure imposes a more evident effect on kinetics. FTIR test and path integral molecular dynamics simulation indicate that proton prefers to wander within the hydration shell of cations rather than to hop rapidly along water wires. Low connectivity of water networks disrupted by cations corrupts the fast-moving path in bulk water. This study highlights the promising way for regulating proton kinetics via a modified water structure.

Vertical Barrier Heterostructures for Reliable, Robust, and High-Performance Ultraviolet Detection.

Photodetectors based on low-dimensional materials usually suffer from serious optical power-dependent photoresponse and low reliability, particularly in the ultraviolet regime. The barrier photodetector is an effective and reliable strategy where the barrier layer can block the low-energy charge carriers while allowing for a flow of the high-energy photocarriers. Here, vertical barrier heterostructure photodetectors (VBHPs), consisting of a graphene bottom electrode, a MoS2 light absorber, and an h-BN energy barrier, for reliable, robust, and high-performance ultraviolet detection are reported. The asymmetric barrier distribution in the conduction/valence band at the MoS2 /h-BN interface results in an ultralow noise current of 1.69 × 10-15 A Hz-1/2 at room temperature, stable photo on/off states exceeding 104 cycles at 300 K and 400 K, a light power-independent high responsivity of 416.2 mA W-1 at 360 nm, a high photo on-off ratio of 1.2 × 105 at 360 nm, high measured detectivities (3.2 × 1010 Jones at 266 nm and 9.9 × 1010 Jones at 360 nm), and wide linear dynamic ranges. The VBHPs show a high potential for new-type reliable ultraviolet detection.

Pd(II)-Catalyzed Arylation/Oxidation of Benzylic C-H of 8-Methylquinolines: Access to 8-Benzoylquinolines.

An efficient access to 8-benzoylquinoline was developed by a sequential arylation/oxidation of 8-methylquinolines with aryl iodides in the presence of Pd(OAc)2. This transformation demonstrates good tolerance of a wide range of functional groups on aryl iodides, providing good to excellent yields of 8-benzoylquinolines.

The mechanisms of mitochondrial dysfunction and glucose intake decrease induced by Microcystin-LR in ovarian granulosa cells.

Microcystin-LR (MC-LR) is a cyclic heptapeptide; it is an intracellular toxin released by cyanobacteria that exhibits strong reproductive toxicity. Previous studies have demonstrated that MC-LR induces oxidative stress in granulosa cells by damaging the mitochondria, which eventually leads to follicle atresia and female subfertility. In the present study, granulosa cells were exposed to 0, 0.01, 0.1 and 1 µM MC-LR. After 24 h, we observed changes in mitochondrial cristae morphology and dynamics by analyzing the results of mitochondrial transmission electron microscopy and detecting the expression of DRP1. We also evaluated glucose intake using biochemical assays and expression of glucose transport related proteins. MC-LR exposure resulted in mitochondrial fragmentation and glucose intake decrease in granulosa cells, as shown by increasing mitochondrial fission via dynamin-related protein 1 (DRP1) upregulation and decreasing glucose transporter 1 and 4 (GLUT1 and GLUT4). Furthermore, the expression levels of forkhead box protein M1 (FOXM1) significantly increased due to the overproduction of reactive oxygen species (ROS) after MC-LR exposure. Our results proved that MC-LR exposure causes mitochondrial fragmentation and glucose intake decrease in granulosa cells, which provides new insights to study the molecular mechanism of female reproductive toxicity induced by MC-LR.

Complete chloroplast genomes of four Physalis species (Solanaceae): lights into genome structure, comparative analysis, and phylogenetic relationships.

BACKGROUND: Physalis L. is a genus of herbaceous plants of the family Solanaceae, which has important medicinal, edible, and ornamental values. The morphological characteristics of Physalis species are similar, and it is difficult to rapidly and accurately distinguish them based only on morphological characteristics. At present, the species classification and phylogeny of Physalis are still controversial. In this study, the complete chloroplast (cp) genomes of four Physalis species (Physalis angulata, P. alkekengi var. franchetii, P. minima and P. pubescens) were sequenced, and the first comprehensive cp genome analysis of Physalis was performed, which included the previously published cp genome sequence of Physalis peruviana. RESULTS: The Physalis cp genomes exhibited typical quadripartite and circular structures, and were relatively conserved in their structure and gene synteny. However, the Physalis cp genomes showed obvious variations at four regional boundaries, especially those of the inverted repeat and the large single-copy regions. The cp genomes' lengths ranged from 156,578 bp to 157,007 bp. A total of 114 different genes, 80 protein-coding genes, 30 tRNA genes, and 4 rRNA genes, were observed in four new sequenced Physalis cp genomes. Differences in repeat sequences and simple sequence repeats were detected among the Physalis cp genomes. Phylogenetic relationships among 36 species of 11 genera of Solanaceae based on their cp genomes placed Physalis in the middle and upper part of the phylogenetic tree, with a monophyletic evolution having a 100% bootstrap value. CONCLUSION: Our results enrich the data on the cp genomes of the genus Physalis. The availability of these cp genomes will provide abundant information for further species identification, increase the taxonomic and phylogenetic resolution of Physalis, and assist in the investigation and utilization of Physalis plants.

ANGPTL4 overexpression inhibits tumor cell adhesion and migration and predicts favorable prognosis of triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) patients have relatively poor clinical outcomes. A marker predicting the prognosis of patients with TNBC could help guide treatment. Extensive evidence demonstrates that angiopoietin-like 4 (ANGPTL4) is involved in the regulation of cancer growth, metastasis and angiogenesis. Therefore, its role in TNBC is of interest. METHODS: We tested the ANGPTL4 expression level in tumor tissues by immunohistochemistry (IHC) and detected its association with the clinical features of TNBC patients. Next, the effects and mechanisms of ANGPTL4 on TNBC cell migration and adhesion were investigated. RESULTS: We found that ANGPTL4 overexpression was associated with favorable outcomes in TNBC patients. ANGPTL4 upregulation inhibited cell adhesion, migration and invasion in vitro. Further analyses demonstrated that the possible mechanism might involve suppression of TNBC progression by interacting with extracellular matrix-related genes. CONCLUSIONS: The present findings demonstrated that enhancement of ANGPTL4 expression might inversely correlate with TNBC progression. ANGPTL4 is a promising marker of TNBC and should be evaluated in further studies. TRIAL REGISTRATION: Retrospectively registered.

A novel Bcl-2 inhibitor, BM-1197, induces apoptosis in malignant lymphoma cells through the endogenous apoptotic pathway.

BACKGROUND: Bcl-2 family members play an important role in the development of malignant lymphoma and can induce drug resistance in anticancer treatment. The development of small molecules targeting Bcl-2 family proteins may be a new strategy for the treatment of malignant lymphoma. In this study, we investigate the antitumor effect and cellular mechanism of a novel Bcl-2/Bcl-xL dual inhibitor, BM-1197, in DCBCL and Burkitt lymphoma cells. METHODS: The CCK-8 assay was used to detect cell viability. Apoptosis was determined by Hoechst 33258 staining and flow cytometry. The activity of caspase-3/caspase-9 was determined using a caspase-3/caspase-9 activity kit. Western blotting analysis was performed to evaluate the changes in protein expression. Functional analysis was performed via immunoprecipitation and siRNA interference. Human malignant lymphoma xenograft models in nude mice were established for in vivo efficacy detection. RESULTS: We find that BM-1197 exerts potent growth-inhibitory activity against lymphoma cells that harbor high expression of Bcl-2 and Bcl-xL in vitro and has a synergistic effect with chemotherapeutic drugs. Mechanistically, we see that the intrinsic apoptosis pathway is activated upon BM-1197 treatment. BM-1197 affects the protein interactions of Bak/Bcl-xl, Bim/Bcl-2, Bim/Bcl-xl, and PUMA/Bcl-2 and induces conformational changes in the Bax protein, which result in the activation of Bax and release of cytochrome c, activate caspase - 9, - 3, and - 7 and finally induce cell apoptosis. Furthermore, our data demonstrate that BM-1197 exhibits strong anti-tumor effects against established human malignant lymphoma xenograft models. CONCLUSIONS: Our study demonstrated BM-1197 exerts potent antitumor effects both in vitro and in vivo and provides promising preclinical data for the further development of BM-1197 in malignant lymphoma.

Comprehensive Analysis of Codon Usage on Rabies Virus and Other Lyssaviruses.

Rabies virus (RABV) and other lyssaviruses can cause rabies and rabies-like diseases, which are a persistent public health threat to humans and other mammals. Lyssaviruses exhibit distinct characteristics in terms of geographical distribution and host specificity, indicative of a long-standing diversification to adapt to the environment. However, the evolutionary diversity of lyssaviruses, in terms of codon usage, is still unclear. We found that RABV has the lowest codon usage bias among lyssaviruses strains, evidenced by its high mean effective number of codons (ENC) (53.84 ± 0.35). Moreover, natural selection is the driving force in shaping the codon usage pattern of these strains. In summary, our study sheds light on the codon usage patterns of lyssaviruses, which can aid in the development of control strategies and experimental research.

The prognostic value of Tiam1 protein expression in head and neck squamous cell carcinoma: a retrospective study.

INTRODUCTION: Head and neck squamous cell carcinoma (HNSCC) is a common cancer worldwide and has a poor prognosis. A biomarker predicting the clinical outcome of HNSCC patients could be useful in guiding treatment planning. Overexpression of the T lymphoma invasion and metastasis 1 (Tiam1) protein has been implicated in the migration and invasion of neoplasms. However, its role in HNSCC progression needs to be further validated. We detected the expression of Tiam1 in normal and tumor tissues and determined its association with clinical outcomes in patients with HNSCC. METHODS: We measured the expression of Tiam1 in normal and cancerous tissue samples from the patients with HNSCC treated at Sun Yat-sen University Cancer Center between 2001 and 2008. The Tiam1 expression was scored from 0 to 12 based on the percentage of positively stained cells and the staining intensity. We then determined the diagnostic performance of this score in predicting overall survival (OS) and disease-free survival (DFS). RESULTS: Of the 194 evaluable patients, those with advanced disease, lymph node metastasis at diagnosis, and recurrence or metastasis during follow-up had a higher tendency of having high Tiam1 expression as compared with their counterparts (P < 0.05). The proportion of samples with high Tiam1 expression was also higher in cancerous tissues than in non-cancerous tissues (57.7% vs. 13.9%, P < 0.001). Cox proportional hazards regression analysis revealed that Tiam1 expression scores of 5 and greater independently predicted short OS and DFS. CONCLUSION: The Tiam1 expression is shown as a promising biomarker of clinical outcomes in patients with HNSCC and should be evaluated in prospective trials.