Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P＜0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P＜0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.

Background: Developing and validating a modified parameter, the SYS-G angle (the angle between the lower endplate of the C2 and the upper endplate of C7 vertebrae), as a feasible substitute for the C2–C7 Cobb method in assessing cervical sagittal alignment and exploring its reference range through a large-scale retrospective study. Methods: The visibility of the C6, C7 upper, and C7 lower endplates was graded and compared. Baseline data such as height, weight, body mass index (BMI), age, and sex were analyzed for their impact on the visibility of the C7 lower endplate. Values of C2-6 Cobb angle, SYS-G angle, and C2-7 Cobb angle were measured. The intra- and interobserver reliability, differences, and efficacy of evaluation on cervical lordosis of the parameters were compared, and the correlations among the parameters were analyzed. Furthermore, reference ranges for the SYS-G angle were established based on lateral cervical spine x-rays of 825 asymptomatic Chinese adults across different age groups and sexes. Results: The visibility of the C7 lower endplates was significantly reduced compared to the C6 lower and C7 upper endplates.Age, weight, BMI, and male sex were identified as factors negatively influencing the visibility of the C7 lower endplate. Both intraobserver and interobserver reliability demonstrated excellence for all tested parameters. The linear regression model unveiled a stronger association of the SYS-G angle with the C2-7 Cobb angle compared to the C2-6 Cobb angle. Furthermore, the SYS-G angle exhibited excellent efficacy in evaluating cervical lordosis. Age displayed a positive correlation with the SYS-G angle, and across every age bracket from 20 to 69 years, men exhibited a higher mean SYS-G angle compared to women. Conclusions The visibility of the C7 lower endplate diminishes with increasing age, weight, BMI, and male sex. In cases where the C7 lower endplate is unclear, the SYS-G angle emerges as a reliable method for estimating cervical sagittal morphology. Reference ranges for the SYS-G angle were established across various age groups and sexes among asymptomatic Chinese adults, offering a valuable resource to guide therapeutic interventions for cervical spine disorders and deformities.

OBJECTIVE To explore the serum growth hormone(GH)of the children with infectious pneumonia and analyze its association with blood biochemistry and body immunity.METHODS A total of 211 children with infec-tious pneumonia who were treated in Huaihe Hospital,Henan University from Jan.2023 to Jan.2024 were recrui-ted as the research subjects and were divided into the mild group with 156 cases and the severe group with 55 cases according to the severity of disease.The change of serum GH and the levels of blood biochemical indexes and im-munity indexes were observed and compared between the two groups.Multivariate logistic regression analysis was performed for the influencing factors,receiver operating characteristic(ROC)curves were drawn to analyze the predictive efficiencies.Linear regression analysis was performed to observe the relationship between the infectious pneumonia and the blood biochemistry and body immunity.RESULTS The GH level of the severe group was(18.34±4.33)μg/L,higher than(10.16±2.84)μg/L of the mild group(t=15.853,P＜0.001).There were sig-nificant differences in the blood biochemistry indexes,cellular and humoral immunity indexes between the severe group and the mild group(P＜0.05).The difference values of changes of C-reactive protein(CRP),CD4+and immunoglobulin(Ig)G were the most(t=16.023,87.639,111.957,all P＜0.001).ROC curve analysis showed that the area under the curve(AUC)of CD23+was the highest,with the sensitivity 100.00％,the specificity 98.88％.The result of the linear regression analysis showed that the GH was only positively correlated with the cellular immunity index CD23+(P＜0.05).CONCLUSION The GH level of the children with infectious pneumonia is reduced;the chang of GH level is closely associated with the blood biochemical indexes CRP and the body im-munity of the children.

[Purpose]To analyze the trends of incidence and age at onset of bone malignant tumors in cancer registration areas of Jiangsu Province from 2009 to 2019.[Methods]Incidence data of bone malignant tumors from 2009 to 2019 were collected from 16 consecutive and quality-con-trolled cancer registries in Jiangsu Province.The incidence rates,average age at onset,and inci-dence composition of bone malignant tumors were calculated.A birth cohort model was constructed to analyze the changes in the incidence of bone malignant tumors in the population born from 1929 to 2019.Joinpoint regression models were used to analyze the average annual percentage change(AAPC)in the incidence rates and the incidence composition of bone malignant tumors for each year in those aged 60 years old and above.A general linear regression model was used to ana-lyze the trend of the average age of onset.[Results]The crude incidence rate of bone malignant tumors in women in Jiangsu cancer registration areas decreased from 2009 to 2019,with an AAPC of-2.62％(P=0.025).After adjusting the population composition,except for urban areas,the incidence of bone malignant tumors in the whole province,men,women and rural areas all decreased significantly,with AAPC of-3.15％,-2.49％,-4.31％and-2.23％,respectively.The average age at onset of bone malignant tumors in the whole province,men and urban areas de-creased significantly yearly,with an average annual decrease of 0.365,0.504 and 0.469 years old,respectively.In the same period,the incidence of malignant bone tumors in the whole province,men,women and urban areas of age groups of 50～59,60～69 and 70～79 years old showed a decreasing trend,the AAPC ranged from-9.06％to-4.14％(all P＜0.05),and the inci-dence decreased gradually with the year of birth.The incidence of malignant bone tumors in men＜30 years old increased yearly with an AAPC of 4.30％(P＜0.05).Compared with 2009,the com-position of incidence in men aged 15～39 years old and in urban population increased in 2019,while the incidence of bone malignant tumors in the age group of 60～79 years old in the province generally decreased.After age structure adjustment,the incidence of bone malignant tumors in people over 60 years old in urban areas decreased with an AAPC of-1.42％(P＜0.05).[Conclu-sion]The incidence of bone malignant tumors in Jiangsu Province is decreasing and the age at on-set is moving forward,indicating that the prevention and control measures of bone malignant tu-mors should be adjusted accordingly.

Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

Objective To analyze the epidemiological characteristics and immunization history of pertussis cases in Yichang City, Hubei Province from 2018 to 2023. Methods Data on the incidence and immunization history of pertussis cases were collected in Yichang City from 2018 to 2023, and the epidemiological characteristics was analyzed and described. Results A total of 109 cases of pertussis were reported in Yichang from 2018 to 2023, and the annual average reported incidence rate was 0.45/100,000. The incidence rate reported in each year was between 0～1.58/100,000. The area with the highest annual reported incidence rate was Xiling District (1.19/100,000). There was a statistically significant difference in the incidence rate between different years (χ²=208.26, P < 0.001). The annual reported incidence rate showed a significant increasing trend (χ² trend =125.71, P < 0.001). The ratio of male to female cases was 1.22. There was no significant difference in the annual reported incidence rates between males and females (χ²=0.85, P=0.36). Children aged 3-9 years accounted for 60.55%. Students and scattered children accounted for 45.87% and 36.70%, respectively. Before the onset of the disease, 72.48% had a history of immunization with pertussis-containing vaccine, and 27.52% had no history of immunization. The shortest interval between the last dose of pertussis-containing vaccine and the onset of the disease was 8 days, the longest was 4057 days, and the median was 1882 days. Conclusion From 2018 to 2023, the reported incidence of pertussis in Yichang City has been on the rise, with the majority of cases occurring in children and students under the age of 9. It is recommended to strengthen pertussis disease monitoring.

Objective To investigate the value of serum tumor markers in the diagnosis of lung cancer.Methods A total of 138 patients with newly diagnosed lung cancer patient(lung cancer group)and 52 patients with benign lung diseases(control group)in Anhui NO.2 Provincial People's Hospital from June 2020 to March 2024 were selected as the research objects.The clinical data and serum tumor markers[neuron-specific enolase(NSE),cytokeratin 19 fragment(CYFRA21-1),carcinoembryonic antigen(CEA),Pro-gastrin-relea-sing peptide(ProGRP)and squamous cell carcinoma antigen(SCC)]of all groups were compared.Results There were significant differences in age and smoking history between the two groups(P＜0.05).The serum levels of NSE,CYFRA21-1,CEA,ProGRP and SCC in lung cancer group were significantly higher than those in control group,and the differences were statistically significant(P＜0.05).The results of binary Logistic regression analysis showed that smoking history,age,CYFRA21-1 and CEA levels were all influen-cing factors for the occurrence of lung cancer(P＜0.05).Receiver operating characteristic(ROC)curve analy-sis results showed that the area under the curve(AUC)of smoking history,age,CEA and CYFRA21-1 in the combined diagnosis of lung cancer was 0.906(95％CI:0.865-0.947),which was higher than the AUC for the individual diagnosis of each index.The levels of serum CYFR21-1 and CEA in the stage Ⅰ—Ⅱ group were significantly lower than those in the stage Ⅲ-Ⅳ group,and the difference was statistically significant(P＜0.05).The results of binary Logistic regression analysis showed that CYFRA21-1 and CEA levels were influ-ential factors in the occurrence of lung cancer stage Ⅲ-Ⅳ(P＜0.05).ROC curve analysis showed that the AUC of CEA and CYFRA21-1 for the diagnosis of lung cancer stage Ⅲ-Ⅳ were 0.750(95％CI:0.667-0.832)and 0.771(95％CI:0.691-0.852),respectively.The AUC of combined diagnosis was 0.834(95％CI:0.765-0.902),the sensitivity was 58.9％,and the specificity was 95.3％.Conclusion Smoking history,age,CEA,and CYFRA21-1 may be potential biomarkers for the diagnosis and prognosis of lung cancer,espe-cially CEA and CYFRA21-1,which are also of great significance for the staging of lung cancer from stage Ⅲ to stage Ⅳ.

Background: Developing and validating a modified parameter, the SYS-G angle (the angle between the lower endplate of the C2 and the upper endplate of C7 vertebrae), as a feasible substitute for the C2–C7 Cobb method in assessing cervical sagittal alignment and exploring its reference range through a large-scale retrospective study. Methods: The visibility of the C6, C7 upper, and C7 lower endplates was graded and compared. Baseline data such as height, weight, body mass index (BMI), age, and sex were analyzed for their impact on the visibility of the C7 lower endplate. Values of C2-6 Cobb angle, SYS-G angle, and C2-7 Cobb angle were measured. The intra- and interobserver reliability, differences, and efficacy of evaluation on cervical lordosis of the parameters were compared, and the correlations among the parameters were analyzed. Furthermore, reference ranges for the SYS-G angle were established based on lateral cervical spine x-rays of 825 asymptomatic Chinese adults across different age groups and sexes. Results: The visibility of the C7 lower endplates was significantly reduced compared to the C6 lower and C7 upper endplates.Age, weight, BMI, and male sex were identified as factors negatively influencing the visibility of the C7 lower endplate. Both intraobserver and interobserver reliability demonstrated excellence for all tested parameters. The linear regression model unveiled a stronger association of the SYS-G angle with the C2-7 Cobb angle compared to the C2-6 Cobb angle. Furthermore, the SYS-G angle exhibited excellent efficacy in evaluating cervical lordosis. Age displayed a positive correlation with the SYS-G angle, and across every age bracket from 20 to 69 years, men exhibited a higher mean SYS-G angle compared to women. Conclusions The visibility of the C7 lower endplate diminishes with increasing age, weight, BMI, and male sex. In cases where the C7 lower endplate is unclear, the SYS-G angle emerges as a reliable method for estimating cervical sagittal morphology. Reference ranges for the SYS-G angle were established across various age groups and sexes among asymptomatic Chinese adults, offering a valuable resource to guide therapeutic interventions for cervical spine disorders and deformities.