Purpose: Lung cancer is frequently observed as a second primary malignancy following gastric cancer, yet the genetic causality between them remains uncertain. This study aims to evaluate the causal relationship between gastric and lung cancers using Mendelian randomization (MR) analysis. Materials and Methods: Single nucleotide polymorphisms associated with gastric and lung cancers were selected from genome-wide association study in East Asian and European populations as instrumental variables. The causal effects between gastric and lung cancers were evaluated using univariable and multivariable MR analysis, with the inverse variance weighted (IVW) method serving as the primary criterion. Heterogeneity and sensitivity analyses were performed to ensure the robustness of the findings. Results: Univariable MR analysis demonstrated that genetic susceptibility to gastric cancer in the European population was significantly associated with an increased risk of lung cancer (IVW: odds ratio [OR], 1.285; 95% confidence interval [CI], 1.072 to 1.541; p=6.83E-03), which was consistently validated in the East Asian population (IVW: OR, 1.356; 95% CI, 1.114 to 1.651; p=2.40E-03). Multivariable MR analysis further indicated that the significant positive causal relationship between gastric cancer and lung cancer persisted in both populations after adjusting for confounding factors (all p < 0.05). Conversely, no significant causal relationship was observed for the risk of developing gastric cancer following the diagnosis of lung cancer in either population (p > 0.05). Conclusion This study confirms that genetic susceptibility to gastric cancer increases the risk of lung cancer. This finding provides a theoretical basis for exploring the underlying biological mechanisms and suggests that enhancing lung cancer screening in patients with gastric cancer may be necessary to improve patient prognosis.

Objective To explore factors associated with early postoperative hormonal remission in patients with prolactinoma and to develop prediction models based on clinical and radiological features. Methods Data from 107 patients with prolactinoma who underwent transsphenoidal surgery at The First People’s Hospital of Huai’an, Nanjing Medical University between January 2020 and December 2024 was collected, included general clinical characteristics, preoperative laboratory indicators, and imaging features. Based on whether early postoperative prolactin (PRL) levels normalized, patients were divided into a remission group (n=76) and a non-remission group (n=31). Univariate logistic regression was used for preliminary evaluation of candidate variables, followed by LASSO regression for feature selection. Multiple machine learning models were constructed, including logistic regression, random forest, support vector machine, K-nearest neighbors, naive Bayes, decision tree, neural network, and gradient boosting decision tree (GBDT). All models were trained and evaluated using ten-fold cross-validation, with comprehensive assessment of model performance based on the area under the ROC curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. Results The maximum diameter of tumors in the non remission group was larger than that in the remission group (P=0.019), and the incidence of tumor stroke and preoperative PRL levels were significantly higher than those in the remission group (P＜0.001). Univariate analysis showed that sex, maximum tumor diameter, tumor stroke, and preoperative PRL levels were influencing factors for early postoperative hormone response in patients with prolactinoma (P＜0.05). The comparison results of machine learning models show that the neural network model performs the best (AUC=0.921) and has good clinical application value, followed by the GBDT model (AUC=0.893) and the support vector machine model (AUC=0.884). Other models also show certain predictive ability. Conclusions Sex, preoperative PRL levels, maximum tumor diameter, Hounsfield unit value, and tumor stroke are important factors affecting early hormone response after prolactinoma surgery. The machine learning model constructed based on the above variables has good predictive performance, and performs the best and has good clinical application value.

ObjectiveTo explore whether fluoroethylnormemantine （FENM）， an NMDA receptor antagonist， could improve compulsive-like behaviors and to investigate its underlying mechanisms in the RU24969-induced obsessive-compulsive disorder （OCD） mouse model. MethodsThirty-two mice were randomly assigned to four groups： Saline （n=8）， RU24969 （n=8）， RU+FENM （n=8）， and FENM （n=8）. Mice received FENM or an equivalent volume of saline for pre-treatment， followed by RU24969 or saline for model induction 30 minutes later. Behavioral tests were performed 1 hour after modeling， and serum samples were collected to measure the level of brain-derived neurotrophic factor （BDNF）. Evans Blue dye was intravenously injected to assess dye content in brain tissue， thereby evaluating potential blood-brain barrier damage. ResultsFENM treatment significantly improved repetitive stereotyped circling behavior （F=39.850， P＜0.001） and alleviated persistent motor activity （F=50.200， P＜0.001） in RU24969 model mice. Additionally， FENM treatment significantly increased serum BDNF level in RU24969-induced OCD mice （F=18.930， P＜0.001）. ConclusionsFENM ， an NMDA receptor antagonist， may alleviate compulsive behaviors in OCD mice by modulating BDNF levels ， thereby exerting anti-compulsive effects. Neither the RU24969 model nor FENM treatment significantly affectes blood-brain barrier integrity.

Objective To explore the potential prognostic factors of patients with acute ischemic stroke(AIS)after undergoing endovascular mechanical thrombectomy and to construct an effective predictive model.Methods A retrospective analysis of clinical data was conducted on 202 patients with anterior circulation large vessel occlusion AIS from 2 stroke centers.All patients received endovascular mechanical thrombectomy treatment,with treatment and follow-up lasting at least 90 d.Basic demographic characteristics,medical records,and baseline blood biomarker data were collected,and the potential prognostic indicators for AIS after 90 d were screened using least absolute shrinkage and selection operator(LASSO)-logistic regression analysis.Results It was found that alcohol drinking(P=0.029),hypertension(P=0.001),diabetes mellitus(P=0.021),stroke or transient ischemic attack(P=0.049),systolic blood pressure on admission(P=0.009),diastolic blood pressure on admission(P=0.038),blood glucose(P=0.003),white blood cell count(P=0.001),neutrophil count(P=0.001),fibrinogen(P=0.010),systemic immune-inflammation index(P=0.008)and neutrophil-to-lymphocyte ratio(NLR)(P＜0.001)were associated with adverse clinical outcomes.Nine significant prognostic determinants were screened through LASSO-logistic regression analysis.Multivariate logistic regression analysis revealed that male sex(P=0.008),smoking history(P=0.013),hypertension(P=0.011),lymphocyte(P=0.028),fibrinogen(P=0.016),and NLR(P＜0.001)were significant predictive factors for poor prognosis in AIS patients after endovascular thrombectomy treatment.The constructed prognostic model had an accuracy of 76.2％,a sensitivity of 78.2％,a specificity of 71.7％,and a positive predictive value of 86.7％.Conclusion The predictive model established in this study can assist clinicians in identifying high-risk patients with AIS who have undergone endovascular thrombectomy,and it provide guidance for formulating individualized treatment strategies.

BACKGROUND: Several studies have demonstrated the occurrence of secondary tumors as a rare but significant complication of chimeric antigen receptor T (CAR-T) cell therapy, underscoring the need for a detailed investigation. Given the limited variety of secondary tumor types reported to date, a comprehensive characterization of the various secondary tumors arising after CAR-T therapy is essential to understand the associated risks and to define the role of the immune microenvironment in malignant transformation. This study aims to characterize the immune microenvironment of a newly identified secondary tumor post-CAR-T therapy, to clarify its pathogenesis and potential therapeutic targets. METHODS: In this study, the bone marrow (BM) samples were collected by aspiration from the primary and secondary tumors before and after CD19 CAR-T treatment. The CD45 + BM cells were enriched with human CD45 microbeads. The CD45 + cells were then sent for 10× genomics single-cell RNA sequencing (scRNA-seq) to identify cell populations. The Cell Ranger pipeline and CellChat were used for detailed analysis. RESULTS: In this study, a rare type of secondary chronic myelomonocytic leukemia (CMML) were reported in a patient with diffuse large B-cell lymphoma (DLBCL) who had previously received CD19 CAR-T therapy. The scRNA-seq analysis revealed increased inflammatory cytokines, chemokines, and an immunosuppressive state of monocytes/macrophages, which may impair cytotoxic activity in both T and natural killer (NK) cells in secondary CMML before treatment. In contrast, their cytotoxicity was restored in secondary CMML after treatment. CONCLUSIONS This finding delineates a previously unrecognized type of secondary tumor, CMML, after CAR-T therapy and provide a framework for defining the immune microenvironment of secondary tumor occurrence after CAR-T therapy. In addition, the results provide a rationale for targeting macrophages to improve treatment strategies for CMML treatment.
Humans ; Lymphoma, Large B-Cell, Diffuse/therapy* ; Tumor Microenvironment/genetics* ; Antigens, CD19/metabolism* ; Leukemia, Myelomonocytic, Chronic/genetics* ; Immunotherapy, Adoptive/adverse effects* ; Male ; Single-Cell Analysis/methods* ; Female ; Sequence Analysis, RNA/methods* ; Receptors, Chimeric Antigen ; Middle Aged

In patients with Graves′ disease, repeated transition between hyperthyroidism and hypothyroidism is uncommon. This report describes a female Graves′ disease patient with persistently high levels of thyroid-stimulating hormone receptor antibodies, who experienced multiple transitions between hyperthyroidism and hypothyroidism over a 7-year follow-up period, including during pregnancy. The fluctuations may be linked to the interplay between thyroid-stimulating hormone receptor stimulating antibody(TSAb) and thyroid-stimulating hormone receptor blocking antibody(TBAb). Treatment with either antithyroid medications or levothyroxine sodium, based on the patient′s thyroid status, helped maintain normal thyroid function. Stable thyroid function may contribute to maintaining a consistent thyroid immune status and reducing thyroid function fluctuation.

Maternal high titers of thyroid stimulating hormone receptor antibody(TRAb) during pregnancy can cause fetal and neonatal thyroid dysfunction, among which hypothyroidism is relatively rare. In this case, the woman was diagnosed with Hashimoto′s hypothyroidism prior to pregnancy and was treated with levothyroxine(LT 4) to maintain normal thyroid function throughout gestation. Despite normal maternal thyroid function, TRAb levels remained persistently elevated during pregnancy. The fetus showed a normal fetal thyroid circumference and heart rate, but no secondary ossification center was observed at 37 + 6 weeks of gestation. On the 9th day after birth, the neonate was diagnosed with congenital hypothyroidism and started on LT 4 replacement therapy. By 7 months of age, thyroid function had normalized, and LT 4 was discontinued. This case highlights the importance of close monitoring of fetal growth and neonatal thyroid function in pregnant women with high TRAb titers, to ensure timely detection and management of fetal and neonatal thyroid dysfunction.

Objective:To evaluate the clinical efficacy and impact on quality of life of the biofeedback (BF) therapy combined with the Wenyang Yiqi Prescription and self-efficacy interventions in patients with functional defecation disorders (FDD).Methods:A prospective, randomized controlled trial design was employed. A total of 128 FDD patients were selected from the Pelvic Floor Center of the Department of Proctology, Suzhou Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, between January 2021 and April 2023. These patients were randomly divided into two groups, with 64 cases in each group. Additionally, 41 historical control patients, who had received conventional BF training between June 2015 and January 2018 at the same center, were included for comparison. The historical control group received conventional BF therapy, the intervention group 1 combined BF therapy with self-efficacy interventions, and the intervention group 2 added the Wenyang Yiqi Prescription based on intervention group 1's treatment. All three groups underwent two treatment courses. Constipation symptom scores before and after treatment were performed; self-efficacy was assessed via the Self-Rated Abilities for Health Practices scale (SRAHP); health behaviors were evaluated using the Health-Promoting Lifestyle Profile (HPLP); anxiety and depression were evaluated through Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS); quality of life was measured through SF-36. Clinical efficacy was evaluated based on constipation symptom scores.Results:During the treatment period, seven patients dropped out due to personal reasons, leaving 61 patients in intervention group 1 and 60 patients in intervention group 2 for efficacy analysis.　The total effective rates were 80.32% (49/61) in intervention group 1, 83.33% (50/60) in intervention group 2, and 56.10% (23/41) in the historical control group. The total effective rates of both intervention groups were significantly higher than those in the historical control group ( χ2=7.06, 9.15; P=0.029, 0.010, respectively). After treatment, intervention group 2 showed significantly lower constipation-related straining scores [1 (1, 2) vs. 2 (1, 2), Z=-4.51] compared to intervention group 1 ( P<0.05). Additionally, intervention group 2 had lower scores for straining [1 (1, 2) vs. 2 (1, 2), Z=-3.15] and defecation time [1 (0, 1) vs. 1 (1, 2), Z=-3.13] compared to the historical control group ( P<0.05). Psychological comfort efficacy (19.13 ± 2.51 vs. 16.98 ± 1.86, t=5.36), health responsibility efficacy (23.63 ± 4.69 vs. 22.59 ± 3.05, t=2.06), and overall SRAHP scores (75.98 ± 4.44 vs. 72.33 ± 5.16, t=4.17) were higher in intervention group 2 compared to intervention group 1 ( P<0.05). The HPLP scores (79.33 ± 11.13 vs. 72.80 ± 9.20, t=3.10) of intervention group 2 were higher than those of the historical control group ( P<0.05). Emotional functioning scores (75.98 ± 18.45 vs. 68.92 ± 20.58 and 68.55 ± 18.21, F=20.91) in intervention group 2 were higher than in both intervention group 1 and the historical control group ( P<0.05). Conclusion:The combination of the Wenyang Yiqi Prescription with BF therapy and self-efficacy interventions effectively improves the clinical symptoms and quality of life in FDD patients.

Ischemic stroke (IS) is a globally life-threatening disease. Presently, few therapeutic medicines are available for treating IS, and rt-PA is the only drug approved by the US Food and Drug Administration (FDA) in the US. In fact, many agents showing excellent neuroprotection but no blood flow-improving activity in animals have not achieved ideal clinical efficacy, while thrombolytic drugs only improving blood flow without neuroprotection have limited their wider application. To address these challenges and meet the huge unmet clinical need, we have designed and identified a novel compound AAPB with dual effects of neuroprotection and cerebral blood flow improvement. AAPB significantly reduced cerebral infarction and neural function deficit in tMCAO rats, pMCAO rats, and IS rhesus monkeys, as well as displayed exceptional safety profiles and excellent pharmacokinetic properties in rats and dogs. AAPB has now entered phase I of clinical trials fighting IS in China.