Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective To investigate the species of ticks in Suizhou City, Hubei Province, so as to provide insights into management of ticks and tick-borne diseases. Methods During the period between May 2023 and June 2024, livestock breeding farms and vegetation neighboring the place of residence of confirmed and suspected patients with tick-borne disease were selected as sampling points in rural areas from Yindian Township, Gaocheng Township, Wanhe Township, Wushan Township, Xiaolin Township, Xihe Township, Hedian Township and Beijiao Street in Suizhou City, Hubei Province, where confirmed and suspected cases with tick-borne diseases had been reported. The parasitic ticks on the body surface of free-range livestock were captured with tweezers in livestock breeding farms, and free ticks on the vegetation surface were captured with the flagging method. Morphological identification of tick samples was performed under a microscope, and the gender and developmental stage of ticks were determined. One engorged adult tick, 2 to 3 blood-feeding but non-engorged adult ticks, 10 to 15 unfed female ticks, 15 to 20 unfed male ticks, and 30 to 40 tick nymphs or larvae were assigned into a group, respectively. Genomic DNA was extracted from tick samples in each group, and mitochondrial 16S rRNA gene was amplified. Sequence analysis was performed with the DNASTAR software, and phylogenetic analysis was performed using the software MEGA 7.0. In addition, the phylogenetic tree was generated using the maximum likelihood method based on the Kimura 2 parameter model. Results A total of 2 438 ticks were captured from Suizhou City, Hubei Province during the period between May 2023 and June 2024, including 595 free ticks and 1 483 parasitic ticks. Three developmental stages of ticks were captured, including larvae, nymphs, and adults, and 75.18% (1 899/2 438) of captured ticks were adult, in which 79.04% (1 501/1 899) were female. Morphological and molecular biological assays identified one family, three genera and four species of captured ticks, including 2 425 Haemaphysalis longicornis ticks (99.47%) and one H. flava tick (0.04%) of the genus Haemaphysalis, 11 Rhipicephalus microplus ticks (0.45%) of the genus Rhipicephalus, and one Ixodes sinensis tick (0.04%) of the genus Ixodes in the family Ixodidae. Phylogenetic analysis revealed that the H. longicornis sequence (SZ49) in this study was clustered with sequences from Yunnan Province (GenBank accession number: MH024510.1), Hebei Province (GenBank accession number: MK450606.1) and Henan Province (GenBank accession number: MZ230645.1) into a clade, and the H. flava sequence (SZ19) in this study was clustered with sequences from Japan (GenBank accession number: MW064044.1), South Korea (GenBank accession number: ON629585.1), and Jiangsu Province (GenBank accession number: PP494741.1) and Hebei Province of China (GenBank accession number: MH520685.1) into a clade, while the R. microplus sequence (SZ8) in this study was clustered with the sequences from India (GenBank accession number: MK621328.1), and Henan Province (GenBank accession number: MT555307.1) and Guizhou Province of China (GenBank accession number: PP446801.1) into a clade. The sequence of I. sinensis (SZ23) in this study had 99.51% homology with that (GenBank accession number: OM368265.1) of ticks sampled from Wuhan City, Hubei Province. Conclusion There are four tick species of H. longicornis, H. flava, R. microplus and I. sinensis in Suizhou City, Hubei Province, and H. longicornis is the dominant species. H. flava is firstly recorded in Suizhou City.

Objective     To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods     A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. Results    Finally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion     Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.

Objective:To investigate the impact of the interval period between biopsy and MR examination on tumor detection and extraprostatic extension (EPE) assessment for prostate cancer (PCa) using multi-parametric MRI (mpMRI).Methods:The study was cross-sectional and retrospectively included 130 patients with PCa who underwent RP and preoperative systematic biopsies followed by mpMRI between January 2021 and December 2022 in the First Medical Center of Chinese PLA General Hospital. Patients were divided into 3 groups according to interval following biopsy (group A,<3 weeks, 31 cases; group B, 3-6 weeks, 67 cases; group C,>6 weeks, 32 cases). The percentages of hemorrhage volume in the total prostate were drawn on T 1WI and calculated. The junior, senior and expert radiologists independently localized the index lesions and calculated the accuracy for tumor detection, in addition to assessing the probabilities of EPE according to EPE grade. The correlation between the hemorrhage extent and interval was analyzed using the Spearman correlation coefficient. The accuracy for tumor detection was compared using χ2 test among groups. The diagnostic performance of the radiologists for EPE prediction was assessed using the receiver operating characteristic curve, and the differences between the corresponding area under the curve (AUC) were compared using the DeLong test. Results:The percentage of hemorrhage was correlated with the interval between biopsy and MR examination ( r=-0.325, P<0.001). The detection accuracy of junior radiologist was 83.9% (26/31), 76.1% (51/67), and 78.1% (25/32) in group A, B and C, respectively; no differences were observed in the detection accuracy among three groups ( χ2=0.76, P=0.685). The detection accuracy of senior radiologist was 83.9% (26/31), 80.6% (54/67), and 71.9% (23/32) in 3 groups with no differences ( χ2=1.53, P=0.464). The detection accuracy of expert radiologist was 80.6% (25/31), 77.6% (52/67), and 93.8% (30/32) with no differences ( χ2=3.95, P=0.139). The AUC (95% CI) for predicting EPE were 0.830 (0.652-0.940), 0.704 (0.580-0.809), 0.800 (0.621-0.920) in the group A, B and C for junior radiologist; 0.876 (0.708-0.966), 0.768 (0.659-0.863), 0.896 (0.736-0.975) for senior radiologist; and 0.866 (0.695-0.961), 0.813 (0.699-0.895), 0.852 (0.682-0.952) for expert radiologist, respectively. No differences were observed among the subgroups in each radiologist ( P>0.05). Conclusion:The interval period does not significantly affect the detection accuracy and EPE assessment of PCa using mpMRI. There is probably no necessity for prolonged intervals following systematic biopsy to preserve the clarity of MRI interpretation for PCa.

Objective: To investigate the causal relationship between gut microbiota and polycystic ovary syndrome (PCOS) using a Mendelian randomization (MR) study, so as to provide insights into the pathogenesis of PCOS and the formulation of prevention and treatment strategies. Methods: The genetic data on gut microbiota was derived from a meta-analysis of genome-wide association studies (GWAS) involving 18 340 participants. The genetic data on PCOS was sourced from two GWAS meta-analyses in European populations, serving as the discovery set and the validation set, respectively. A two-sample MR analysis was conducted using the discovery set, with the inverse variance weighted (IVW) method as the primary approach. Sensitivity analyses employed the weighted median method, MR-Egger regression, and the MR-PRESSO test. The validation set was utilized for verification, and a meta-analysis was performed to combine the results from the two datasets. Results: Forward MR analysis results showed that nine types of gut microbiota were statistically associated with PCOS (all P<0.05). Specifically, the association of family Streptococcaceae (OR=1.442, 95%CI: 1.097-1.895), genus Actinomyces (OR=1.359, 95%CI: 1.036-1.784), genus Ruminococcaceae UCG 011 (OR=0.755, 95%CI: 0.619-0.921), genus Sellimonas (OR=0.766, 95%CI: 0.657-0.893) and genus Streptococcus with PCOS (OR=1.496, 95%CI: 1.136-1.972) remained consistent in the sensitivity analysis. Reverse MR analysis showed no evidence for the causal association between PCOS and the aforementioned five types of gut microbiota (all P>0.05). The MR analysis results of the validation set showed that there was no statistical association between the aforementioned five types of gut microbiota and PCOS (all P>0.05). However, the associations remained significant for genus Actinomyces (OR=1.226,95%CI：1.010-1.503) and genus Streptococcus (OR=1.266,95%CI：1.042-1.452) in the meta-analysis (both P<0.05). Conclusion This study provides the evidence that genus Actinomyces and genus Streptococcus are causally associated with PCOS.

Objective: To examine the association between sleep and frailty using the bidirectional two-sample Mendelian randomization (MR) approach, so as to provide the basis for the prevention and intervention of frailty. Methods: The data on single nucleotide polymorphisms (SNP) related to sleep duration, insomnia and morning chronotype were collected from genome-wide association studies (GWAS) and meta-analysis of GWAS, involving 446 118, 1 331 010 and 697 828 participants, respectively. The frailty was evaluated using the frailty index, and the relevant SNP data were collected from a meta-analysis of GWAS involving 175 226 participants. A bidirectional MR analysis was performed using the inverse-variance weighted method. Sensitivity analyses employed the weighted median method, the maximum likelihood-based method, the MR-Egger regression, and the MR-PRESSO test. Results: Forward MR analysis showed that longer sleep duration (β=-0.170, 95%CI: -0.255 to -0.085) and morning chronotype (β=-0.036, 95%CI: -0.058 to -0.014) decreased the risk of frailty, while insomnia increased the risk of frailty (β=0.167, 95%CI: 0.149-0.184). Reverse MR analysis showed that frailty increased the risk of insomnia (OR=1.645, 95%CI: 1.278-2.117). Both bidirectional MR results were robust, which excluded the impact of heterogeneity and horizontal pleiotropy. Conclusion Sleep duration, insomnia, and morning chronotype are associated with frailty.

Background and purpose:Leptomeningeal metastasis is a form of central nervous system metastasis of melanoma.High mobility group A2(HMGA2)has been proven to play an important role in the occurrence and development of various tumors,but its biological functions in leptomeningeal metastatic melanoma cells remain unclear.On the basis of building mouse models of central nervous system metastasis of melanoma,this study investigated the differences in cell migration and cell proliferation among leptomeningeal metastatic melanoma cells,primary site melanoma cells and brain parenchymal metastatic melanoma cells,and further clarified the effects of differentially expressed gene HMGA2 on cell migration and proliferation of leptomeningeal metastatic melanoma cells.Methods:B16 mouse melanoma cells(B16-parental cells,B16-Par)stably expressing tdTomato and luciferase were generated by lentiviral infection.Subsequently,B16 specific brain parenchymal metastatic cells(B16-brain metastatic cells,B16-BrM)and B16 specific leptomeningeal metastatic cells(B16-leptomeningeal metastatic cells,B16-LM)were collected after adaptive screening of metastatic sites in vivo.The differences in migration and proliferation among B16-Par,B16-BrM and B16-LM were assessed by wound healing assay and cell counting kit-8(CCK-8).RNA sequencing(RNA-seq)was used to analyze differential gene expression in B16-Par,B16-BrM and B16-LM,and HMGA2 gene specifically upregulated in B16-LM was screened out.The results were verified by real-time fluorescence quantitative polymerase chain reaction(RTFQ-PCR)and Western blot.Gene ontology(GO)analysis was performed for genes which were upregulated in B16-LM specifically.siRNA was used to interfere with the expression of HMGA2 gene in B16-LM,and the knock-down effect was verified by RTFQ-PCR and Western blot.The effects of knocking down HMGA2 on cell migration and proliferation were detected by wound healing assay and CCK-8 assay.Using GSE174401 data in Gene Expression Omnibus(GEO),the specificity of HMGA2 gene expression in leptomeningeal metastatic melanoma cells from patients was verified.Results:Compared with Par cells,tumor cells screened by the brain environment were more likely to colonize the central nervous system.B16-LM had stronger migration and proliferation abilities,and upregulated the expression of HMGA2 gene.GO analysis revealed that HMGA2 was associated with many biological processes such as angiogenesis and cell proliferation.When the expression of HMGA2 gene was knocked down,the migration and proliferation of B16-LM could be inhibited.HMGA2 was upregulated in leptomeningeal metastatic melanoma cells from patients.Conclusion:Leptomeningeal metastatic melanoma cells had relatively unique cellular characteristics,which promoted cell migration and proliferation by upregulating HMGA2 gene expression.

Purpose To explore the additional value of apparent diffusion coefficient(ADC)histogram in predicting extraprostatic extension(EPE)of prostate cancer.Materials and Methods Consecutive patients undergoing multi-parameter MRI and subsequent radical prostatectomy from January 2021 to December 2022 were retrospectively included in this study.Two radiologists independently estimated EPE by using national cancer institute grading system for extraprostatic extension(EPE grade system),with disagreement resolved by discussion.Histogram metrics were derived from three-dimensional volumes of interest encompassing the entire lesion on ADC maps using FireVoxel,obtaining mean ADC,1st,5th,10th,25th,50th,75th,90th,95th and 99th ADC values.The ADC histograms between the groups with and without EPE were compared.Multivariable Logistic regression analysis was used to identify the independent predictive factors of EPE,and a combined model was developed.Receiver operator characteristic curve was used to evaluate the diagnostic performance,and the area under the curve was calculated and compared.Results Thirty-four patients(34％)had pathologic confirmed EPE after radical prostatectomy.ADC histogram parameters showed significant differences between patients with and without EPE(P＜0.05).Multivariate Logistic regression analysis revealed 99th ADC(OR=0.609,P=0.008)and EPE grade system(OR=4.158,P＜0.001)were independent predictors of EPE.For predicting EPE,the area under the curve of 99th ADC,EPE grade system and the combined model were 0.756,0.805 and 0.856,respectively.The area under the curve of 99th ADC and the EPE grade system in identifying EPE showed no significant difference.The diagnostic efficacy of combined model was significantly superior to that of 99th ADC or EPE grading system(Z=2.223,2.208,both P＜0.05).Conclusion The ADC histogram parameters demonstrate additional value for preoperative prediction of EPE.Combining the 99th ADC histogram parameter with the EPE grade system may improve the diagnostic efficacy of EPE.

Objective:To investigate the clinical and MRI features of the mixed epithelial and stromal tumor family (MESTF) of the kidney.Methods:From January 2009 to September 2021, 42 patients with pathologically-proven MESTF from the First Medical Center of Chinese PLA General Hospital were collected in this retrospective study. Clinical information, MRI features, and pathological results were documented. According to the Bosniak classification (BC) version 2019, all MESTFs were divided into cystic MESTFs (36 cases) and solid-cystic MESTFs (6 cases). The R.E.N.A.L. nephrometry score (RNS), lesion size, laterality, location, margin, shape, growth pattern, presence of protruding into renal sinus, hemorrhage, and enhancement pattern were evaluated and documented. Based on BC versions 2005 and 2019, all the cystic MESTFs were assessed and divided into low (Ⅰ, Ⅱ, ⅡF) and high (Ⅲ, Ⅳ) grades. The independent sample t test or Mann-Whitney U test were performed to compare age, RNS, and lesion size between cystic MESTFs and solid-cystic MESTFs. Pearson χ 2 test, continuity-adjusted χ 2 test or Fisher exact probability test were utilized to evaluated the differences of clinical and MRI features and the distribution of low or high grades in two versions of BC. Results:Forty-two MESTFs were unilateral and solitary masses, 25 males and 17 females, with a mean age of (41±13) years old. Compared to solid-cystic MESTFs, cystic MESTFs were prone to demonstrate endophytic growth pattern (χ 2=17.77, P<0.001), and no significant differences in other clinical and MRI features were observed between cystic and solid-cystic MESTFs (all P>0.05). There were 7 low-grade and 29 high-grade tumors in the BC version 2005, respectively. Meanwhile, 24 low-grade and 12 high-grade tumors in the BC version 2019, respectively. The distribution of low or high-grade tumors in the two versions of BC had a statistically significant difference (χ 2=16.37, P<0.001). Conclusion:MESTFs demonstrated middle-age onset and no gender predilection. Cystic MESTFs are more likely to exhibit endophytic growth pattern with low-grade classification in BC system version 2019.

Objective:To investigate the prognostic value of metabolic parameters of 18F-fluorodeoxyglucose ( 18F-FDG) positron emission computed tomography/computed tomography(PET/CT) in advanced non-small cell lung cancer(NSCLC) treated with first-line immune checkpoint inhibitor (ICI) combined with chemotherapy. Methods:A retrospective study was conducted to evaluate patients with advanced NSCLC who underwent baseline PET/CT before treatment at the Affiliated Cancer Hospital of Zhengzhou University from 2019 to 2021. Receiver operating characteristic (ROC) curve analysis was used to determine the cut-offs for metabolic parameters of PET/CT, including total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and maximum standard uptake value (SUV max). Kaplan-Meier method, Log-rank test, and Cox regression model were used to calculate the overall survival (OS) and the progression-free survival(PFS). Results:A total of 44 patients were enrolled. Univariate analysis showed that the factors influencing PFS were TMTV and the number of metastatic sites ( χ2=4.19, 11.28, P<0.05) and the factors influencing OS were TMTV and TLG ( χ2=14.96, 6.05, P<0.05). Multivariate analysis suggested that number of metastatic sites was an independent prognostic marker for PFS ( P=0.011) and TMTV was an independent prognostic marker for OS ( P=0.038). Conclusions:TMTV is a prognostic indicator of OS while the number of metastatic sites is a prognostic indicator of PFS in advanced NSCLC patients who received first-line ICI combined with chemotherapy, but further prospective studies are needed.