Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

OBJECTIVE: To analyze the RHD genotyping and sequencing results of RhD serology negative samples in the clinic, and to further explore the laboratory methods for RhD detection, in order to provide a basis for clinical precision blood transfusion. METHODS: A total of 27 200 whole blood samples were screened for RhD blood group antigen using microcolumn gel card method.Serologic RhD-negative confirmation tests were performed on blood samples that were negative for RhD on initial screening using three different clonal strains of IgG anti-D reagents. The 10 exons of the RHD gene on chromosome 1 were also analyzed by PCR-SSP to determine RHD genotyping.When the PCR-SSP method did not yield definitive results, the RHD gene of the sample was analyzed by the third-generation sequencing. RESULTS: The results of the initial screening test by the microcolumn gel card method showed that 136 of the 27 200 samples were RhD-negative, of which 86 underwent RhD-negative confirmation testing and RHD genotyping, 88.37% (76/86 cases) of the RhD-negative confirmation test results were negative for the three anti-D reagents, and the results of RHD genotyping showed that 67.44% (58/86 cases) of the cases had a complete deletion of 10 exons, and the remaining 28 cases were RHD*711delC (1 case), RHD*D-CE(1-9)-D (1 case), RHD*D-CE(2-9-)D (2 cases), RHD*D-CE(3-9)-D (4 cases), RHD*DEL1 (c.1227G >A) mutation (16 cases), RHD*weak partial 15(845G >A) mutation (3 cases), and a mutation of c.165C >T base was found in 1 sample by three-generation sequencing. CONCLUSION RHD genotype testing of samples that are serologically negative for RhD antigen shows that some of the samples have RHD gene variants, not all of which are total deletions of RHD, suggesting that there are some limitations of the serologic method for RhD detection. Due to the polymorphism of the RHD gene structure, different RhD variants present different serologic features, which need to be further detected in combination with molecular biology testing, especially for the identification of Asian-type DELs, which is important for clinical precision blood transfusion.
Humans ; Rh-Hr Blood-Group System/genetics* ; Genotype ; Polymerase Chain Reaction ; Exons ; Blood Grouping and Crossmatching

Curcumae Rhizoma, derived from the rhizome of Curcuma phaeocaulis, Curcuma kwangsiensis and Curcuma wenyujin, was called Ezhu in China. In the past, Curcumae Rhizoma extracts were obtained through water decoction or alternative methods, which showed significant anti-cancer effects. However, the mixed extracts contain various compound components of Curcumae Rhizoma, leading to an ambiguous mechanism of action for Curcumae Rhizoma extracts anti-cancer. Contemporary researchers have extracted the chemical components of Curcumae Rhizoma separately for experimental verification of its active ingredients in the anti-cancer field. Numerous studies demonstrated that curcumol, germacrone, β-elemene, and curcumin in Curcumae Rhizoma extracts have significant governing effects in anti-cancer activities. Pharmacological studies have shown that Curcumae Rhizoma suppresses cancer cell proliferation, invasion, and migration, triggering apoptosis and regulating cellular autophagy to achieve anticancer effects. Here, we summarized the research progress of Curcumae Rhizoma on anti-cancer effects from 2013 to 2022, aiming to explore the deeper molecular mechanisms of Curcumae Rhizoma's active components in cancer treatment.

Objective To evaluate the reliability and validity and perform cost-consequence analysis of the brief version of the Montreal cognitive assessment(MoCA)for identifying cognitive impairment in a community-based population ≥50 years of age.Methods The internal consistency and retest reliability of the brief version of the MoCA were analyzed,and the area under the curve(AUC),sensitivity,and specificity were determined to discriminate mild cognitive impairment(MCI)and dementia with the clinical dementia rating(CDR)as the diagnostic criterion.The consistency between the brief version and the full version was analyzed by the Kappa test and the Bland-Altman method,and the number of individuals entering the diagnostic assessment and the overall assessment time were estimated and compared between the two versions.Results A total of 303 individuals were included in this study,of whom 192,94,and 17 had normal cognitive function,MCI,and dementia,respectively.The Cronbach's α and re-test coefficients of the brief version of MoCA were 0.754 and 0.711(P<0.001),respectively.The brief version showed the AUC,sensitivity,and specificity of 0.889,74.5%,and 93.8% for identifying MCI,and 0.994,100%,and 93.8% for identifying dementia,respectively.When the brief version of MoCA was used to identify 94 patients with MCI in 303 individuals,107 individuals required additional diagnostic assessment,with an overall assessment time of 142.4 h,which represented decreases of 21.3% and 32.7%,respectively,compared with those of the full version.When the brief version of MoCA was used to identify 17 patients with dementia in 303 individuals,35 individuals required additional diagnostic assessment,with an overall assessment time of 70.4 h,a decrease of 29.5% in the time cost compared with the full version.Conclusions The brief version of MoCA can identify cognitively impaired individuals in a community-based middle-aged and elderly population,with diagnostic validity comparable to that of the full version but less time cost and fewer individuals needing additional diagnostic assessment to detect true-positive cases.It could be expanded for use in the community-based primary screening setting.
Humans ; Aged ; Middle Aged ; Cognitive Dysfunction/diagnosis* ; Male ; Female ; Mental Status and Dementia Tests ; Reproducibility of Results ; Dementia/diagnosis* ; Sensitivity and Specificity ; Aged, 80 and over ; Cost-Benefit Analysis

Objective To analyze the safety of idarubicin or daunorubicin combined with cytarabine in the treatment of patients with acute myeloid leukemia.Methods The Chinese Biomedical Database,Chinese Journal Full-text Database,Chinese Science and Technology Journal Full-text Database,Wanfang Database,Embase,PubMed,Cochrane Library were searched.The randomized controlled trials(RCTs)of idarubicin combined with cytarabine(treatment group)and daunorubicin combined with cytarabine(control group)were collected.The search time was from 2014-01-01 to 2024-02-23.RevMan 5.4 software was used to perform meta-analysis,sensitivity analysis and publication bias analysis on adverse drug reactions of the included studies.Results A total of 11 RCTs involving 1 818 patients were included in the Meta-analysis.The treatment and control groups were enrolled 912 and 906 cases,respectively.The results of meta-analysis showed that the total incidence of adverse drug reactions in the treatment group and the control group was 22.9％(56 cases/245 cases)and 42.9％(105 cases/245 cases),respectively,and the difference was statistically significant[relative risk(RR)=0.53,95％confidence interval(CI)=0.41-0.69,P＜0.001)].In the specific adverse drug reactions,there were no statistically significant differences in the incidence of hematological toxicity,digestive system toxicity,cardiac toxicity,liver and kidney toxicity,infection,bleeding between the two groups(all P＞0.05).Sensitivity analysis showed that the results were stable and reliable.The results of publication bias analysis showed that this study was less likely to have publication bias.Conclusion The incidence of adverse drug reactions of idarubicin combined with cytarabine in the treatment of patients with acute myeloid leukemia is significantly lower than that of daunorubicin combined with cytarabine,so the former has better safety.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

A triplex RT-qPCR assay with human genes as internal references was established for detection of the Dengue and Zika viruses(DENV and ZIKV,respectively).The conserved regions of the four serotypes of DENV,along with the NS1 gene of ZIKV and the human β-actin gene,which is stably ex-pressed in various human tissues,were targeted by three sets of specific primers and probes.Standard plasmids for four se-rotypes of DENV,ZIKV,and β-actin were constructed as pos-itive controls.Optimal reaction conditions were determined through an L9(34)orthogonal experiment.The specificity,sensitivity,and coverage of the assay were verified and evalua-ted clinically,and the consistency was evaluated against a com-mercial kit for detection of DENV.The triplex RT-qPCR assay established exhibited no non-specific cross reactions with 12 similar arboviruses.The detection sensitivity for DENV and ZIKV were 2.99 and 2.18 copies/μL,respectively,and the intra-group and inter-group repeatability coefficients of variation were within 1.5％.As compared to the commercial kit,the proposed assay obtained positive results for 13 epidemic strains of DENV.Bland-Altman consistency analysis confirmed that the consistency of the detection results of clinical positive samples between the commercial kit and the proposed assay was 92.59％.The highly specific and sensitive triplex RT-qPCR assay with internal references is an effective tool for early and rapid differential identification of DENV and ZIKV.

Objective:To explore the stimulation conditions,optimal culture time and infection time of C57BL/6J mice CD3+T cells in vitro,so as to improve the infection efficiency of CD 19 chimeric antigen receptor T cells(mCD19 CAR-T).Methods:Purified C57BL/6J mice CD3+T cells were cultured in anti-CD3/CD28 coated,anti-CD3 coated+soluble anti-CD28 and anti-CD3 coated,respectively.The cells were stimulated in above three conditions for 12 h and 24 h,following with 24 h,48 h and 72 h incubation and then the number of cell clones was recorded.C57BL/6J mice CD3+T cells were stimulated for 12 h,24 h,and 36 h under the above three conditions,then interleukin(IL)-2(100 U/ml)was added.The number of cell clones was recorded under microscope at 24 h,48 h,and 72 h of culture.After 24 h of stimulation,CD3+T cells derived from C57BL/6J mice were infected with retrovirus for 48 h to establish mCD19 CAR-T cells,and the percentage of GFP+CAR-T cells was detected by flow cytometry.Results:The infection efficiency of mCD19 CAR-T cells derived from C57BL/6J mice was only 5.23％under the optimized conditions of mCD19 CAR-T cells derived from BALB/c mice.The number of clones of C57BL/6J mice CD3+T cells was the highest in anti-CD3 coated+soluble anti-CD28 group after stimulated for 24 h and followed cultured for 48 h.After 24 hours of stimulation under the above conditions and 48 hours of culture with IL-2,the number of T cell proliferating clones in the anti-CD3 coated+soluble anti-CD28 group was significantly increased compared with the same group without IL-2,and the infection efficiency of CAR-T cells in this group reached 17.63％±4.17％.Conclusion:The optimal conditions for constructing CAR-T cells from C57BL/6J mice CD3+T cells are different from those of BABL/c mice.T cells stimulated by anti-CD3 coated+soluble anti-CD28+IL-2 can obtain mCD19 CAR-T cells with the highest efficiency after retrovirus infection.

Objective:To harvest the primary Philadelphia chromosome-positive (Ph+) cells of B-acute lymphoblastic leukemia (B-ALL) and to establish the B-ALL mouse model. Methods:The plasmid carrying BCR-ABL P210 fusion gene was transferred into the bone marrow(BM) cells of C57BL/6J mice by retrovirus. Syngeneic mice irradiated with 9 Gy of 60Co γ-ray were injected with the transfected BM cells as the first generation (G1),and then the primary cells from the spleen and BM of the diseased mice were obtained and frozen. Sublethal γ-ray irradiated C57BL/6J mice were inoculated with the first generation of Ph+cells for in vivo passage,which were named as the second generation (G2). The third and fourth generations (G3 and G4) of Ph+cells and B-ALL mouse model were established by successive passages. Flow cytometry,H&E staining and peripheral blood smear were used to analyze the immunophenotypes and detect the pathological changes of the model mice. Results:After infusion of P210-NGFR retrovirus infected BM cells,the mice exhibited significant symptoms including weight loss,lower limbs paralysis,and arched back. Primitive and immature lymphocytes were observed in peripheral blood smears of the leukemia mice. The results of H&E staining showed obvious infiltration of leukemic cells around the central vein of the hepatic lobule and at the edge of the liver in the diseased mice. The results of flow cytometry showed that the percentages of CD19+NGFR+cells in spleen of the model mice were gradually increased with passage,which was 19.0％,47.3％ and 61.0％ in G1,G2 and G3 mice,respectively. Immunophenotypic analysis indicated that Ph+cells were stably passaged in B lymphocytes,and the purity of Ph+B lymphocytes was obviously elevated with the increase of passage frequency. Conclusion:In the present study,the primary Ph+cells were successfully obtatined and passaged in vivo,and the B-ALL mouse model was successfully established.

Objective To design a nurse-driven intelligent individualized medication management system to enhance the whole-course patient management efficiency.Methods The system consisted of an in-hospital PC terminal,a mobile patient terminal and a mobile medical terminal.The in-hospital PC terminal was developed with B/S architecture and.NET;the patient and medical terminals both were realized with Java.The patient terminal was made up of a personal information module,a data reporting module and a message center module,and the in-hospital PC and medical terminals were composed of several modules for patient management,data management,statistical analysis and system management.Results The system developed provided whole-course intelligent management for out-of-hospital patients comprehensively,continuously and actively,lowering acute morbidity and nurses'workload for follow-up.Conclusion The system developed enhances patients'awareness of self-health management and improves nurses'efficiency for individualized medication management.[Chinese Medical Equipment Journal,2024,45(11):44-48]