Cancer is the result of evolving crosstalk between neoplastic cell and its immune microenvironment. In recent years, immune therapeutics targeting T lymphocytes, such as immune checkpoint blockade (ICB) and CAR-T, have made significant progress in cancer treatment and validated targeting immune cells as a promising approach to fight human cancers. However, responsiveness to the current immune therapeutic agents is limited to only a small proportion of solid cancer patients. As major components of most solid tumors, myeloid cells played critical roles in regulating the initiation and sustentation of adaptive immunity, thus determining tumor progression as well as therapeutic responses. In this review, we discuss emerging data on the diverse functions of myeloid cells in tumor progression through their direct effects or interactions with other immune cells. We explain how different metabolic reprogramming impacts the characteristics and functions of tumor myeloid cells, and discuss recent progress in revealing different mechanisms-chemotaxis, proliferation, survival, and alternative sources-involved in the infiltration and accumulation of myeloid cells within tumors. Further understanding of the function and regulation of myeloid cells is important for the development of novel strategies for therapeutic exploitation in cancer.
Humans ; Tumor Microenvironment/immunology* ; Myeloid Cells/immunology* ; Neoplasms/therapy* ; Animals

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

AIM: To explore the accuracy and consistency of predicting postoperative vault in implantable collamer lens(ICL)surgery based on the NK and KS formulas of CASIA2 OCT.METHODS: Retrospective case study. The study included 85 patients(170 eyes)who underwent ICL implantation for the correction of moderate to high myopia at the Refractive Surgery Center of Lunan Eye Hospital from October 2022 to October 2023. Routine examinations including ultrasound biomicroscopy(UBM), corneal endothelium assessment, optometry, intraocular pressure measurement, fundus examination, and corneal topography were performed. Patients who met the indications for ICL surgery were selected, and the recommended lens size was determined based on parameters such as corneal diameter and anterior chamber depth using standard methods. A CASIA2 OCT examination was used to obtain the corresponding lens size and predicted vault using the NK and KS formulas. The differences and consistency between the predicted vault by NK and KS formulas and the actual vault at 1 wk, 1, 3, and 6 mo postoperatively were analyzed. Paired t-tests were used to analyze the differences between the predicted vault by NK and KS formulas and the actual vault at each postoperative time point. The consistency between the predicted vault by NK and KS formulas and the actual vault at each time point was assessed using Bland-Altman analysis. Multivariate linear regression was used to analyze the correlation between actual vault and various anterior segment parameters.RESULTS: The NK formula showed statistically significant differences between the predicted values and the actual vault at 1, 3, and 6 mo postoperatively(all P<0.05), but no statistically significant difference was observed compared to the actual vault at 1 wk postoperatively(P=0.340). The KS formula demonstrated a statistically significant difference between the predicted values and the actual vault measured at 6 mo postoperatively(P<0.05). The lens vector height and lens model were influcing facotrs for the vault at 6 mo postoperatively(all P<0.05). Both the NK formula and KS formula had the highest consistency between their predicted vault and the actual vault at 6 mo postoperatively.CONCLUSION: The NK and KS formulas of CASIA2 OCT showed the highest consistency between the predicted postoperative vault and the actual vault at 6 mo postoperatively. Both formulas can serve as effective references for ICL model selection.

The 2024 American Society of Clinical Oncology(ASCO)Annual Meeting was held in Chicago,the United States,from May 31 to June 4 in 2024.In recent years,antibody-drug conjugates(ADCs)have become one of the most popular targeted therapies because of their high specificity,efficacy,and low toxicity,making them a focal point in this ASCO meeting.Currently,over 100 ADCs are under investigation,demonstrating the considerable development potential of ADCs in the field of targeted cancer therapy.The aforementioned conference reported several recent research advancements regarding ADCs for the treatment of breast cancer(BC).This review summarizes the latest progress of ADCs in BC treatment discussed at the confer-ence.

Objective:To analyze the clinical characteristics, treatment response, and prognosis of patients newly diagnosed with immunoglobulin A multiple myeloma (IgA MM), and to ascertain whether the IgA isotype remains a poor prognostic factor in the bortezomib era.Methods:This study retrospectively enrolled 155 patients newly diagnosed with IgA MM and 420 with non-IgA MM admitted to the Department of Hematology, the First Affiliated Hospital of Nanchang University from March 2014 to December 2021. We compared the two groups in terms of their clinical characteristics, prognoses, and progression-free survival (PFS) and overall survival (OS) following different treatment regimens.Results:Compared with the non-IgA group, the IgA group presented with more aggressive clinical features, including a higher proportion of patients with hemoglobin<85 g/L (61.3% vs 51.4%, P=0.035), extramedullary manifestations (20.0% vs 11.4%, P=0.008), and gain/amp (1q21) (48.6% vs 36.7%, P=0.032). Efficacy analysis revealed a lower overall response rate (ORR) in the IgA group than in the non-IgA group (83.2% vs 92.4%, P=0.001). Among patients treated with bortezomib-based regimens, the ORR was 91.2% in the IgA group and 94.8% in the non-IgA group, but the difference was nonsignificant ( P=0.146). Survival analysis showed that the median PFS and OS were significantly shorter in the IgA group compared with the non-IgA group[23.5 (95% CI: 17.4-29.5) months and 48.8 (95% CI: 30.1-67.5) months vs 40.7 (95% CI: 33.8 - 47.6) months and not reached, respectively; P<0.001 and P=0.002]. In the subgroup of patients who received bortezomib-based therapy without subsequent autologous hematopoietic stem cell transplantation (auto-HSCT), the PFS and OS were significantly shorter in the IgA group compared with the non-IgA group[25.4 (95% CI: 18.7-32.1) months and 53.5 (95% CI: 35.4-71.6) months vs 41.0 (95% CI: 33.7-48.3) months and not reached; P=0.001 and P=0.011]. In patients who underwent bortezomib-based induction therapy followed by auto-HSCT, the 1-, 3-, and 5-year OS rates for the IgA group were 96%, 81%, and 81%, respectively, compared with 93%, 89%, and 79% for the non-IgA group, but the difference was nonsignificant ( P=0.758) . Conclusion:In the bortezomib era, IgA MM is still associated with a poorer overall prognosis than non-IgA MM, likely due to its inherent high-risk biological characteristics. Although bortezomib-based regimens effectively improve the treatment response, they fail to completely bridge the survival gap between the two disease isotypes. Therefore, bortezomib-based therapy followed by auto-HSCT may be a key strategy to overcome the poor prognosis of IgA MM, potentially enabling these patients to achieve long-term survival comparable to that of their non-IgA counterparts.

Objective:To analyze the epidemiological characteristics of severe fever with thrombocytopenia syndrome (SFTS) in Beijing in 2024, to investigate the infection status of reservoir hosts, vector organisms, and baseline human populations, and provide a scientific basis for formulating prevention and control strategies.Methods:Epidemiological surveys were conducted on all confirmed cases. Serum samples from healthy populations and reservoir hosts were collected for SFTSV antibody detection. Questing ticks were monitored using the flagging method. Real-time fluorescent quantitative PCR was employed to detect SFTSV in cases, reservoir hosts, and ticks. Positive samples underwent whole-genome sequencing and genetic evolution analysis.Results:In 2024, Beijing reported 15 locally infected cases with 4 deaths. The age of onset ranged from 50 to 80 years (median: 66 years). Cases showed a certain degree of geographical clustering, with June being the peak month of onset. The affected population was predominantly farmers, with a male-to-female ratio of 3∶2. Animal contact history emerged as a significant risk factor alongside tick bites. Parthenogenetic tick populations were identified in Pinggu district, while SFTSV-carrying ticks were detected in endemic areas (Mentougou, Shijingshan, and Fengtai Districts). Viral presence was also confirmed in ticks or dogs from non-endemic areas. Sequencing and phylogenetic analysis revealed stable clustering of strains into two distinct genotypes (A and B). Antibody-positive individuals were identified in healthy populations from non-endemic areas.Conclusions:The incidence of SFTS in Beijing is increasing, with natural viral circulation already established in non-endemic regions. Enhanced surveillance and adjusted prevention strategies are urgently needed.

Off-label drug use in psychiatry has long been prevelent, with common clinical practices lacking standardized guidance and associated risks warranting close attention. To address the practical needs of frontline clinicians, the Mental Health Branch of the China National Narcotic Drugs Association, in collaboration with multiple institutions, has launched a project to formulate the Guidelines on Off-label Use of Common Psychiatric Medications in China ("Guideline"). The Guidelines focuses on evaluating evidence and formulating recommendations regarding off-label use scenarios of common psychiatric medications, including indications, dosage, administration, and specific populations. It employs standard methodological frameworks, notably the GRADE-ADOLOPMENT approach (Grading of Recommendations Assessment, Development, and Evaluation Evidence to Decision frameworks for adoption, adaptation, and de?novo development of recommendations), to ensure both scientific rigor and practical applicability. This proposal systematically outlines the background, objectives, processes, organizational structure, and methodologies of the Guideline, aiming to provide psychiatrists with practical and evidence-based prescribing recommendations.

AIM:To investigate the effects of memantine(Mem),an N-methyl-D-aspartate(NMDA)recep-tor antagonist,on sevoflurane(Sev)anesthetic depth and perioperative neurocognitive disorders in mice,and to explore the possible mechanisms involved.METHODS:Mouse electroencephalogram(EEG)monitoring and cognitive disorder models were established.For EEG monitoring,male C57BL/6J mice were randomly divided into control group,Sev group,and Mem+Sev group.The EEG monitoring electrodes were implanted in the heads of the mice 7 d before anesthe-sia.On the day of anesthesia,the mice in Mem+Sev group received an intraperitoneal injection of 20 mg/kg Mem dissolved in normal saline,while those in control and Sev groups received intraperitoneal injection of an equivalent volume of normal saline based on body weight.Thirty minutes later,the mice in Sev and Mem+Sev groups were anesthetized with 400 mL/min O2+3%Sev for 5 h,while those in control group were treated with 400 mL/min O2 for 5 h.The EEG monitoring was ter-minated after the righting reflex was restored in Sev and Mem+Sev groups.The time of disappearance and recovery of the righting reflex was recorded,and changes in EEG burst suppression ratio and relative power of each frequency band were analyzed.For the cognitive disorder part,another batch of male C57BL/6J mice were selected and divided into the same groups as before.The mice underwent water maze spatial navigation training for 6 d before anesthesia.On the day of anes-thesia,the mice in Mem+Sev group received an intraperitoneal injection of 20 mg/kg Mem dissolved in normal saline,while those in control and Sev groups received intraperitoneal injection of an equivalent volume of normal saline based on body weight.Thirty minutes later,the mice in Sev and Mem+Sev groups were anesthetized with 400 mL/min O2+3%Sev for 5 h,and those in control group were treated with 400 mL/min O2 for 5 h.Spatial navigation and exploration tests were conducted 3 d after anesthesia.After the tests,the mice were sacrificed,and their hippocampal tissues were collected.The levels of interleukin-1β(IL-1β),tumor necrosis factor-α(TNF-α)and acetylcholine(ACh)in the hippocampal tis-sues were detected by ELISA.The concentration of Ca2+in the hippocampal tissues was measured using a calcium assay kit.Pathological changes in the hippocampal CA3 region were observed by HE staining,and the protein levels of NMDA receptor GluN1 subunit,GABAA receptor,amyloid β-protein(Aβ),and p-tau were detected by Western blot.RE-SULTS:Compared with control group,the mice in Sev group had increased burst suppression ratio at all time points dur-ing anesthesia and prolonged escape latency and reduced platform crossings 3 d after anesthesia(P<0.05).The levels of IL-1β and TNF-α in the hippocampal tissues increased,while the level of ACh decreased,and the concentration of Ca2+in-creased.The protein levels of GluN1 subunit,Aβ and p-tau were elevated(P<0.05).Compared with Sev group,the mice in Mem+Sev group had shortened anesthesia induction time and increased burst suppression ratio at all time points during anesthesia,with elevated relative power of slow waves and δ waves(P<0.05).The escape latency was shortened,and the platform crossings increased 3 d after anesthesia(P<0.05).The levels of IL-1β and TNF-α in the hippocampal tissues decreased,while the levels of ACh increased,and the protein levels of GluN1 subunit,Aβ and p-tau were reduced(P<0.05).There was no significant difference in anesthesia recovery time among the groups(P>0.05).CONCLU-SION:Memantine,in combination with Sev anesthesia,accelerates anesthesia induction and deepens anesthetic depth,which may be related to the increased relative power of δ EEG waves,but has no significant effect on recovery time.Me-mantine intervention alleviates Sev anesthesia-induced cognitive disorders by inhibiting the overexpression of NMDA recep-tors,Aβ and p-tau,and attenuating neuroinflammation.