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.

Lipidomics is an emerging discipline that systematically studies the various types, functions, and metabolic pathways of lipids within living organisms. This field compares changes in diseases or drug impact, identifying biomarkers and molecular mechanisms present in lipid metabolic networks across different physiological or pathological states. Through employing analytical chemistry within the realm of lipidomics, researchers analyze traditional Chinese medicine (TCM). This analysis aids in uncovering potential mechanisms for treating diverse physiopathological conditions, assessing drug efficacy, understanding mechanisms of action and toxicity, and generating innovative ideas for disease prevention and treatment. This manuscript assesses recent literature, summarizing existing lipidomics technologies and their applications in TCM research. It delineates the efficacy, mechanisms, and toxicity research related to lipidomics in Chinese medicine. Additionally, it explores the utilization of lipidomics in quality control research for Chinese medicine, aiming to expand the application of lipidomics within this field. Ultimately, this initiative seeks to foster the integration of traditional medicine theory with modern science and technology, promoting an organic fusion between the two domains.

Objective: To delineate the epidemiologic profile of rifampicin resistant pulmonary tuberculosis (RR-PTB) among students in Chongqing, so as to provide evidence for effectively controlling RR-PTB outbreaks in schools. Methods: Individual level surveillance records of 395 student RR-PTB cases reported from 2015 to 2024 were extracted from the China Information System for Disease Control and Prevention. The Joinpoint regression analysis was employed to quantify temporal trends in the registration rate of student RR-PTB cases, and the comparison of RR-PTB registration rates with different demographic characteristics and different regions was performed using Chi-square test. Results: From 2015 to 2024, a total of 395 student RR-PTB cases were identified, with the registration rate ranged from 0.07 per 100 000 to 1.47 per 100 000, showed a fluctuating upward trend ( AAPC= 35.22%, t =4.13, P <0.01). A turning point was detected in 2017, rates rose during 2015-2017 (APC=295.23%， t =4.62， P < 0.01 ) and plateaued thereafter (APC=-0.47%， t =-0.12， P =0.91). The proportion of RR-PTB cases occurring among students increased both among all RR-PTB cases (1.54% in 2015, 7.48% in 2024) and all student pulmonary tuberculosis cases (0.20% in 2015, 7.17% in 2024), with significant linear trends ( χ 2 trend =33.55,159.98, both P <0.01). The majority of cases were enrolled in senior high school (50.38%), classified as retreatment (53.92%), of Han ethnicity (75.95%), and diagnosed with multidrug resistant tuberculosis(53.16%). There were significant differences in the composition of different ethnicity, registration category and resistance pattern between different years( χ 2=23.47, 17.23, 59.64，all P <0.05). The South-Eastern Wuling Mountainous Region exhibited the highest notification rate (3.96 per 100 000), whereas the western region had the lowest rate ( 0.47 per 100 000). County level jurisdictions reported higher rates than district level ones (2.16 per 100 000 vs 0.63 per 100 000 ). Statistically significant differences were observed in the RR-PTB reported rates among students across different districts and counties( χ 2=418.05,167.05,both P <0.01). Conclusions From 2015 to 2024, the registration rate of detected student RR-PTB cases in Chongqing showed an increasing trend. Students have become one of the key populations for drug resistant TB prevention and control. Intensified health education and active case finding should be implemented to enhance proactive surveillance capabilities.

OBJECTIVE To analyze the results of speech-evoked auditory brainstem response(s-ABR)tests in patients with presbycusis and explore the mechanisms of speech coding in these patients.METHODS Thirty patients with presbycusis(presbycusis group),30 elderly individuals with normal hearing(elderly normal group),and 30 young adults with normal hearing(young control group)were recruited.The s-ABR was elicited using a 40 ms duration complex speech stimulus/da/,and the characteristics of s-ABR were analyzed in each group.RESULTS The latencies of waves V and A in the presbycusis group were significantly prolonged compared to both the elderly normal group and the young control group(P<0.05).However,there was no statistically significant difference in the latencies of waves between the elderly normal group and the young control group(P>0.05).The amplitude of wave A and the slope of the V-A complex wave in the presbycusis group were significantly lower than those in the young control group(P<0.05),while no statistically significant differences were observed in the amplitudes of other waves.CONCLUSION The characteristics of s-ABR in patients with presbycusis suggest that these patients have poor synchronization in response to stimulus timing and deficiencies in coding high-frequency and rapidly changing auditory information,which may be one of the mechanisms underlying the decline in speech abilities in patients with presbycusis.

Objective:To investigate the correlation between cerebral blood flow (CBF) in different brain regions and gait disorder (GD) in patients with cerebral small vessel disease (CSVD).Methods:Patients with CSVD visited the Department of Neurology, the Second Affiliated Hospital of Xuzhou Medical University from November 2023 to October 2024 were included prospectively. They were divided into GD group (<0.8 m/s) and non-GD group (≥0.8 m/s) based on their step speed. CBF was measured using 3D pseudo-continuous arterial spin labeling (3D-pCASL) perfusion imaging. Gait parameters were quantitatively evaluated using a wearable gait analyzer. Multivariate logistic regression analysis was used to determine independent factors associated with GD in patients with CSVD. Partial correlation analysis was used to determine the correlation between gait parameters and CBF in different brain regions. Results:A total of 52 patients with CSVD were enrolled, including 26 males and 26 females, aged 67.00±6.84 years. Thirty-eight cases (73.1%) had mild overall burden of CSVD, and 14 cases (26.9%) had a moderate to severe overall burden of CSVD. There were 17 patients (32.7%) in the GD group and 35 (67.3%) in the non-GD group. Compared with the non-GD group, the body mass index was significantly higher, the CBF of the left occipital lobe and bilateral cerebellum decreased significantly, the step speed, step length, stride length, step frequency, swing phase, peak arm angular velocity, arm swing amplitude, maximum calf anterior/posterior swing angle, peak calf angular velocity, foot swing speed, and peak sagittal plane angular velocity in the torso decreased significantly, while the number of steps, stance phase, step length asymmetry, stride length, and step length variability increased significantly in the GD group (all P<0.05). Multivariate logistic regression analysis showed that left cerebellar CBF was an independent protective factor for GD in patients with CSVD (odds ratio 0.902, 95% confidence interval 0.827-0.982; P=0.019). For every 1 ml/(100 g.min) decreased in left cerebellar CBF, the patients with CSVD had an increased risk of developing GD by approximately 9.8%. Partial correlation analysis showed that left occipital lobe CBF was significantly positively correlated with step speed ( r=0.305, P=0.032), maximum calf back swing angle ( r=0.314, P=0.026), and peak calf angular velocity ( r=0.356, P=0.011). The left cerebellar CBF was significantly positively correlated with step speed ( r=0.295, P=0.037) and significantly negatively correlated with step length variability ( r=-0.335, P=0.017); the right cerebellar CBF was significantly positively correlated with step speed ( r=0.309, P=0.029) and significantly negatively correlated with step length variability ( r=-0.344, P=0.014). Conclusion:GD in patients with CSVD is associated with decreased CBF in the left occipital lobe and bilateral cerebellum, and decreased CBF in the left cerebellum significantly increased the risk of GD in patients with CSVD.

Alexithymia refers to a deficiency of emotional structure, but the neurologic and psychological mechanisms of non-suicidal self-injury (NSSI) in adolescents are still unclear. The neural basis of alexithymia may play a role in adolescents′ NSSI by affecting the function of emotion regulation and emotion expression. At the same time, NSSI is also considered to be a non-adaptive emotional regulation mode for alexithymia individuals, which interacts with personality factors and psychosocial factors. This study explored the neuropsychological mechanism of alexithymia in adolescent NSSI from the perspective of emotional function, and provided theoretical basis for early identification and precise intervention of alexithymia and adolescent NSSI.

Objective:To explore the association between sublingual microcirculatory perfusion vessel proportion (PPV), high mobility group protein B1 (HMGB1), and sepsis-induced coagulopathy (SIC), and to identify early predictive markers for clinical intervention.Methods:A total of 66 septic patients admitted to the Respiratory Intensive Care Unit (RICU) between November 2021 and May 2024 were enrolled. Based on SIC diagnosis within 24 hours of admission, patients were categorized into SIC ( n=36) and non-SIC ( n=30) groups. Clinical parameters, including prothrombin time (PT), activated partial thromboplastin time (APTT), sublingual PPV, and serum HMGB1 levels (measured at 0 h and 6 h), were analyzed. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to identify independent predictors. Results:Compared with the non-SIC group, the SIC group demonstrated significantly prolonged PT ( P<0.05) and APTT ( P<0.05), elevated 0 h lactate levels, and increased 6 h HMGB1. Spearman analysis revealed a positive correlation between 6 h PPV and platelet count ( P<0.05), while an inverse correlation was observed with 6 h PT ( P<0.05). Multivariate regression identified APTT, 6 h PPV, and 6 h HMGB1 as independent predictors of SIC. ROC analysis yielded AUC values of 0.732 for APTT, 0.802 for 6 h PPV, and 0.765 for 6 h HMGB1. The combination of 6 h PPV and HMGB1 further improved predictive accuracy (AUC=0.873). Conclusions:Prolonged APTT, decreased 6 h PPV, and elevated 6h HMGB1 are key indicators of SIC. Integrated assessment of these markers enhances early risk stratification in septic patients, facilitating timely clinical intervention.

Lipidomics is an emerging discipline that systematically studies the various types,functions,and metabolic pathways of lipids within living organisms.This field compares changes in diseases or drug impact,identifying biomarkers and molecular mechanisms present in lipid metabolic networks across different physiological or pathological states.Through employing analytical chemistry within the realm of lipidomics,researchers analyze traditional Chinese medicine(TCM).This analysis aids in uncovering potential mechanisms for treating diverse physiopathological conditions,assessing drug efficacy,un-derstanding mechanisms of action and toxicity,and generating innovative ideas for disease prevention and treatment.This manuscript assesses recent literature,summarizing existing lipidomics technologies and their applications in TCM research.It delineates the efficacy,mechanisms,and toxicity research related to lipidomics in Chinese medicine.Additionally,it explores the utilization of lipidomics in quality control research for Chinese medicine,aiming to expand the application of lipidomics within this field.Ultimately,this initiative seeks to foster the integration of traditional medicine theory with modern science and technology,promoting an organic fusion between the two domains.

Objective To investigate the patterns of syndrome changes and their possible material basis in mouse models of chronic psychological stress during the modeling process.Methods A chronic unpredictable mild stress(CUMS)method was employed to prepare a model of chronic psychological stress in mice.After 2 weeks of modeling,Xiaoyao powder(XYS group)and Sini powder(SNS group)were administered concurrently with the modeling process.General conditions,behavioral,and biochemical indicators were compared between the modeling mice(M4 and M6 group)and the mice treated for 2 weeks(S4 and X4 group)and 4 weeks(S6 and X6 group)after chronic psychological stress.Results Compared with M4 group mice,body mass,total distance and central distance in the open field test,serum NE concentration,and gastric Ghrelin expression were increased in S4 group and X4 group mice,and sugar water preference rate and serum D-xylose concentration were increased in S4 group mice.Compared with X4 group mice,total distance in the open field test and serum D-xylose concentration were increased in the S4 group mice.Compared with M6 group mice,body mass,serum NE concentration,serum D-xylose concentration,and gastric Ghrelin expression were increased in group S6 and X6 group mice;sugar water preference rate,total distance in the open field test,and active avoidance counts in the shuttle box test were increased in X6 group mice,while their serum CORT concentration was decreased.Compared with S6 group mice,body mass,total distance in the open field test,serum D-xylose concentration,and gastric Ghrelin expression in X6 group mice were increased.Conclusions During the process of modeling chronic psychological stress in mice,the traditional Chinese medicine syndrome evolved from liver qi stagnation to liver qi stagnation with spleen deficiency.The biological bases of the syndrome changes may be the combined changes in serum CORT and NE concentrations and the decrease in gastric Ghrelin levels.

Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.