As a member of the Chinese Medical Association (CMA) journal series, Cancer Research and Clinic has consistently adhered to editorial standards established by CMA, striving to enhance academic quality and continuously improve its academic level and influence. It has now become one of the important academic publications in the field of oncology in China. The journal primarily reflects research achievements and academic trends in oncology, serving as an academic exchange platform for clinicians and researchers in the feild of oncology. On the 110th anniversary of the founding of CMA, the journal will be true to the original aspiration, keep the mission firmly in mind, and continue to make due contributions to the development of the prevention and treatment of malignancies in China. This article reviews the journal's developmental history, highlights its accomplishments, and outlines its vision for future growth in the new era.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

Objective:To develop and validate a predictive model for massive hemorrhage during brain tumor resection in pediatric patients.Methods:A retrospective analysis was performed on the clinical data from pediatric patients who underwent elective brain tumor resection under general anesthesia at the Women and Children′s Medical Center Affiliated to Guangzhou Medical University from December 2016 to October 2023. The patients were randomly divided into model group and internal validation group in a ratio of 8∶2. Pediatric patients who underwent elective brain tumor resection under general anesthesia at Qilu Hospital of Shandong University from January 2021 to July 2024 were selected and served as external validation group. Relevant characteristic variables were screened through Lasso regression. A multivariate logistic regression was used to develop the model and plot the nomogram for intraoperative massive hemorrhage. The performance of the model was evaluated using the area under the receiver operating characteristic curve and calibration curve.Results:Through Lasso regression and multivariate logistic regression analyses, 11 independent influencing factors were identified: age ( OR=0.323, 95% confidence interval [ CI]: 0.280-0.374, P<0.001), weight ( OR=0.164, 95% CI: 0.135-0.199, P<0.001), activated partial thromboplastin time ( OR=1.133, 95% CI: 1.036-1.239, P=0.006), thrombin time ( OR=1.141, 95% CI: 1.048-1.243, P=0.002), red blood cell count ( OR=0.941, 95% CI: 0.888-0.996, P=0.035), hemoglobin concentration ( OR=0.873, 95% CI: 0.822-0.926, P<0.001), platelet count ( OR=1.062, 95% CI: 1.001-1.127, P=0.048), maximum tumor diameter ( OR=2.384, 95% CI: 2.241-2.536, P<0.001), tumor invasiveness ( OR=2.376, 95% CI: 2.071-2.726, P<0.001), hydrocephalus ( OR=2.409, 95% CI: 2.139-2.713, P<0.001), and centered midline structure ( OR=0.509, 95% CI: 0.465-0.557, P<0.001). Based on this, a nomogram prediction model was established. The receiver operating characteristic curve showed that the area under the curve of this model in predicting the risk of massive hemorrhage during brain tumor resection was 0.936 (95% CI: 0.90-0.959) in model group, 0.863 (95% CI: 0.744-0.948) in internal validation group, and 0.855 (95% CI: 0.726-0.955) in external validation group. The calibration curve indicated good model consistency, and the Hosmer-Lemeshow goodness-of-fit test result showed a P value of 0.979 ( P>0.05). Conclusions:Age, body weight, activated partial thromboplastin time, thrombin time, red blood cell count, hemoglobin concentration, platelet count, maximum tumor diameter, tumor invasiveness, hydrocephalus and midline structure are independent influencing factors for major bleeding during brain tumor resection in pediatric patients, and the prediction model established based on this histogram has high accuracy.

As a member of the Chinese Medical Association (CMA) journal series, Cancer Research and Clinic has consistently adhered to editorial standards established by CMA, striving to enhance academic quality and continuously improve its academic level and influence. It has now become one of the important academic publications in the field of oncology in China. The journal primarily reflects research achievements and academic trends in oncology, serving as an academic exchange platform for clinicians and researchers in the feild of oncology. On the 110th anniversary of the founding of CMA, the journal will be true to the original aspiration, keep the mission firmly in mind, and continue to make due contributions to the development of the prevention and treatment of malignancies in China. This article reviews the journal's developmental history, highlights its accomplishments, and outlines its vision for future growth in the new era.

Circular RNAs (circRNAs) are endogenous non-coding RNAs with covalently closed structures, which have important functions in plants. However, their biogenesis, degradation, and function upon treatment with gibberellins (GAs) and auxins (1-naphthaleneacetic acid, NAA) remain unknown. Here, we systematically identified and characterized the expression patterns, evolutionary conservation, genomic features, and internal structures of circRNAs using RNase R-treated libraries from moso bamboo (Phyllostachys edulis) seedlings. Moreover, we investigated the biogenesis of circRNAs dependent on both cis- and trans-regulation. We explored the function of circRNAs, including their roles in regulating microRNA (miRNA)-related genes and modulating the alternative splicing of their linear counterparts. Importantly, we developed a customized degradome sequencing approach to detect miRNA-mediated cleavage of circRNAs. Finally, we presented a comprehensive view of the participation of circRNAs in the regulation of hormone metabolism upon treatment of bamboo seedlings with GA and NAA. Collectively, our study provides insights into the biogenesis, function, and miRNA-mediated degradation of circRNAs in moso bamboo.
RNA, Circular/metabolism* ; Multiomics ; Poaceae/metabolism* ; Seedlings/genetics* ; Hormones/metabolism* ; MicroRNAs/metabolism* ; Gene Expression Regulation, Plant

Objective:To analyze the situation of articles published in Journal of Leukemia & Lymphoma and provide reference for the development of the journal and better service to readers and authors. Methods:All articles published in Journal of Leukemia & Lymphoma from January 2019 to December 2021 were searched on the official website of the journal (www.bxblbl.com.cn) and the full-text database of Chinese medical journals (www.yiigle.com), and the statistical analysis of the articles published in the journal was performed using bibliometric methods and Excel software. Website readings and downloads were recorded based on data from the Chinese medical journal network publishing platform (https://app.yiigle.com/cmaapp/). Results:From January 2019 to December 2021, 36 issues of Journal of Leukemia & Lymphoma were published, containing a total of 578 articles, with an average of about 16 articles per issue. There were 222 (38.4%) original articles, 173 (29.9%) brief communications, 11 (1.9%) guidelines and consensus articles, 58 (10.0%) topic reviews, and 94 (16.3%) reviews; the degree of authorship cooperation was 5.10 (2 946/578). The first author's affiliation included 28 provinces, cities and autonomous regions. The top 10 regions were Jiangsu, Henan, Beijing, Fujian, Shanxi, Guangdong, Tianjin, Shanghai, Hebei, and Shandong, with a total of 425 (73.5%) articles. There were 257 (44.5%) funded articles, including 105 (18.2%) articles funded by national funds. The average number of citations per article was 18.6 (10 751/578). The average annual number of reads was 104 630, and the top 20 most-read articles in 2021 were mostly in the category of guidelines and consensus and topical reviews. Conclusions:Journal of Leukemia & Lymphoma has developed well in recent years, and its influence in the field of hematology-oncology has steadily increased. In the future, according to the purpose of the journal, the special columns should be further created, and the academic quality should be improved to better serve the readers and authors.

Objective:To analyze the articles and literature indicators of Cancer Research and Clinic, in order to provide reference for the development of the journal. Methods:All articles published in Cancer Research and Clinic from January 2017 to December 2021 were searched on the official website of the journal (www.zlyjylc.com.cn), and the core literature indicators of Cancer Research and Clinic published in the Citation Report of Chinese Science and Technology Journals (Core Edition) from 2018 to 2022 were searched, and the statistical analysis of the articles and literature indicators was performed using bibliometric method and Excel software. Results:From 2017 to 2021, a total of 60 issues of Cancer Research and Clinic were published, containing a total of 1 065 articles, with an average of 17.8 articles per issue; a total of 4 416 pages of articles were published, with an average of 4.1 pages per article. There were 609 original articles (57.2%), 193 brief communications (18.1%) and 224 reviews (21.0%) in the main sections. The degree of authorship cooperation was 3.84 (4 086/1 065). The first author affiliation of the article was located in 31 regions, of which the top 10 regions in terms of the number of articles published were Shanxi, Jiangsu, Beijing, Shandong, Hubei, Shaanxi, Liaoning, Guangdong, Henan, and Hebei, with a total of 822 articles (77.2%). A total of 487 articles (45.7%) were funded by the foundation, including 134 articles (12.6%) funded by the national foundations. The average number of citations per article was 19.3 (20 557/1 065); the total number of marked keywords was 4 412, with an average of 4.1 per article. The impact factor and total citation frequency in 2018 were the highest (0.680 and 775), and the rate cited, open factor and overall evaluation total score in 2021 were the highest (0.94, 42 and 29.8). Conclusions:Cancer Research and Clinic has adhered to its own purpose and formed its own characteristics, and its academic quality and influence have steadily improved in the field of oncology in China in recent years. It should continue to improve the quality and strive to be a first-class oncology journal in the future.

Objective: To explore the improvement rate of liver fibrosis in patients with chronic hepatitis B virus infection who received entecavir alone or in combination with anluohuaxianwan for 78 weeks. Methods: Patients with chronic HBV infection were randomly treated with entecavir alone or in combination with anluohuaxian for 78 weeks. Ishak fibrosis score was used for blind interpretation of liver biopsy specimens. The improvement in liver fibrosis condition before and after the treatment was compared. Student's t test and non-parametric test (Mann-Whitney U-Test and Kruskal-Wallis test) were used to analyze the measurement data. The categorical variables were analyzed by Chi-square test method and Spearman’s rank correlation coefficient was used to test bivariate associations. Results: Liver fibrosis improvement rate after 78 weeks of treatment was 36.53% (80/219) and the progression rate was 23.29% (51/219). The improvement of liver fibrosis was associated to the degree of baseline fibrosis and treatment methods (P < 0.05). The improvement rate of hepatic fibrosis in patients treated with anluohuaxianwan combined with entecavir at baseline F < 3 (54.74%, 52/95) was significantly higher than that in patients treated only with entecavir (33.33%, 16/48), P = 0.016 and the progression rate of hepatic fibrosis (13.68%, 13/95) was lower than that in patients treated alone (18.75%, 9/48), P = 0.466. In patients with baseline F < 3, the proportion of patients with improved and stable liver fibrosis in the combined treatment group (68.1%, 32/47) was higher than that in the treatment group alone (51.7%, 15/29). Conclusion Combined anluohuaxianwan and entecavir treatment can significantly improve the improvement rate of liver fibrosis in patients with chronic hepatitis B virus infection. Furthermore, it has the tendency to improve the stability rate and reduce the rate of progression of liver fibrosis.

Objective: To detect differentially expressed microRNAs in chronic hepatitis B (CHB) before being treated with pegylated interferon (PegIFN) and the relationship between their target genes and HBsAg loss. Methods: Pretreatment differentially expressed microRNAs between different response groups were screened using high throughput microarrays and validated by quantitative reverse-transcription polymerase chain reaction (RT-qPCR). Bioinformatics analysis was performed to determine their target genes potential mechanistic roles. Results: A total of 417 microRNA were differentially expressed between different response groups, among which 342 were up-regulated and 75 were down-regulated. miR-3960, miR-126-3p, miR-23 a-3p and miR-335-5p were verified to be down-regulated by RT-qPCR result in HBsAg loss group. Bioinformatic analysis result show that the relevant pathways of microRNAs include AMPK signal pathway, NOD-like signal pathway, NF-kappa B signal pathway and mTOR signal pathway. Conclusions HBsAg loss is probably achieved as the result of genes expression regulated in association with immune response, further enhance the immune response of HBV elimination and acquire HBsAg loss.

Objective To investigate the application of statistical methods in clinical research articles of oncology in China. Methods The core journals in Chinese oncology journals were retrieved in "Wanfang Data", and the application of statistical methods in the clinical research articles published in the first issue of 2017 were analyzed,including the selection of statistical indicators,the selection of statistical methods and the interpretation of statistical results. Results A total of 176 clinical research articles from 24 journals were taken into the study.In the selection of statistical indicators, 12.6 %(16 articles) used the description method of normal distribution data for the skewness distribution measurement data; 37.9 % (47 articles) described the count data with samples<20 as a percentage; 14.5 % (9 articles) replaced the constituent percentages with composition ratios. In the selection of statistical methods, 10.3 % (12 articles) did not perform analysis of variance when comparing among multiple groups, and the t test was used to compare each other directly. 15.1 % (8 articles) disregarded the preconditions of the use of the χ 2test. In the interpretation of statistical results, 18.4 % (27 articles) confused the statistical significance with biological significance. Conclusions The statistical problems are widespread in Chinese oncology clinical research articles,involving the entire process from study design to interpretation of results. Scientific research management departments, clinical researchers, and journal editorial board need to work together to improve the scientificity of clinical scientific research results of oncology in China.