Objective To construct a lung cancer surgery-oriented disease-specific database covering the entire perioperative care pathway, thereby improving the quality and usability of key surgical data elements. Methods Real-world clinical data were extracted from a single-center thoracic surgery department. A standardized data model was established based on the open electronic health record (openEHR) standard. Large language model (LLM), optical character recognition (OCR), and artificial intelligence (AI)-driven techniques were employed to extract, structure, and perform quality control on unstructured clinical narratives, imaging reports, and radiological data, with a focus on capturing surgically relevant perioperative indicator. Results A multimodal database comprising 19 917 patients was established, including 7 930 males and 11 987 females, with ages ranging from 15 to 97 (61.7±9.7) years. The database includes 582 structured data variables, textual report data corresponding to 69 clinical indicators, 13 000 pulmonary function test PDF reports, and chest CT imaging data from 16 884 patients. This database comprehensively covers major information relevant to surgical diagnosis and treatment of lung cancer, significantly improving the completeness and granularity of surgical detail data. Large language models (LLMs) and optical character recognition (OCR) technologies enhanced the efficiency of converting unstructured data into structured formats, while a multi-level manual verification process ensured data accuracy and traceability. The database supports real-world research including comparisons of surgical procedures, prediction of postoperative complications, prognosis assessment, and multimodal data association analyses.

Background: Postoperative hypokalemia is a common electrolyte disturbance associated with adverse outcomes, particularly in older adults. This study aimed to identify risk factors and develop predictive models for hypokalemia within 24 hours after carotid endarterectomy (CEA) for severe carotid artery stenosis, a condition that primarily affects older patient populations. Methods: A retrospective cohort of 1,076 CEA patients (October 2021 to May 2023) was analyzed. Risk factors were identified using univariate and multivariate logistic regression. A predictive nomogram was developed and internally validated via bootstrapping. Machine learning models (Random Forest and XGBoost) were developed and interpreted using SHAP (SHapley Additive exPlanations) analysis. Subgroup analyses were performed in patients aged ≥70 years and by comparing postoperative potassium levels >4.0 mmol/L versus 3.5–4.0 mmol/L. Results: The cohort had a median age of 65 years. Multivariate analysis identified preoperative potassium (odds ratio [OR]=0.60, 95% confidence interval [CI] 0.50–0.72), hemoglobin (OR=0.74, 95% CI 0.63–0.88), BMI (OR=0.74, 95% CI 0.63–0.88), and postoperative visual analogue scale score (OR=1.28, 95% CI 1.09–1.51) as independent predictors. Frailty showed borderline significance (OR=1.56, 95% CI 1.00–2.44, p=0.05). The nomogram achieved an area under the curve (AUC) of 0.710, demonstrating good discrimination and calibration. Machine learning models similarly performed well (AUC 0.707–0.709). Conclusion We developed a validated tool to predict postoperative hypokalemia after CEA. The model highlights that in addition to biochemical and surgical factors, geriatric syndromes like frailty and nutritional status are pivotal risk determinants. This facilitates early, individualized management, including tailored potassium supplementation, nutritional support, and pain control, especially for vulnerable older adults, to mitigate complications and promote recovery.

Objective To investigate the expression profile, prognostic value, gene co-expression network, and immunomodulatory role of BRF1 in a pan-cancer context, and to explore its biological functions and molecular regulatory mechanisms in esophageal squamous cell carcinoma (ESCC). Methods The pan-cancer dataset from The Cancer Genome Atlas (TCGA) was utilized to analyze the differential expression of BRF1 in tumor versus normal tissues, its association with patient survival, pathway enrichment for co-expressed genes, and immune features (including immune checkpoints, cytokines, and immune cell infiltration). The expression profile of BRF1 in ESCC was validated using the Gene Expression Omnibus (GEO) database. In vitro, BRF1 was knocked down in ESCC cells using siRNA. Cell proliferation and migration were assessed by MTT and Transwell assays, respectively. The expression levels of proliferation- and migration-related proteins were detected by Western blotting. The correlation between BRF1 and ferroptosis was analyzed using TCGA data. Results BRF1 was significantly upregulated in over 20 types of cancer, and its high expression was associated with poor prognosis in patients with adrenocortical carcinoma and prostate adenocarcinoma. BRF1 was found to positively regulate the T-cell-mediated cell death pathway in esophageal adenocarcinoma and was associated with the circadian rhythm regulation pathway in pancreatic adenocarcinoma. The correlation of BRF1 with immune checkpoints, cytokine networks, and immune cell infiltration was found to be cancer type-specific. In vitro experiments demonstrated that knocking down BRF1 significantly inhibited the proliferation of ESCC cells, accompanied by the downregulation of the proliferation marker PCNA. Cell migration was also significantly impaired, with decreased expression of Vimentin and MMPs and increased expression of E-cadherin. Furthermore, the expression of BRF1 was positively correlated with that of ferroptosis-antagonizing genes, such as GPX4, HSPA5, and SLC7A11. Conclusion BRF1 plays complex roles in pan-cancer, participating in the regulation of tumorigenesis, progression, and immune infiltration. BRF1 promotes the proliferation and migration of ESCC cells, a mechanism potentially associated with the regulation of ferroptosis resistance. These findings suggest that BRF1 could be a potential therapeutic target for ESCC.

Oxidative stress is a pivotal factor in the onset and progression of diabetic kidney disease （DKD）， and it plays an essential role in the prevention and treatment of DKD. The "Gaozhuo" pathogenesis posits that DKD is characterized by the invasion of Gaozhuo and damage to the kidney collaterals， with the underlying cause being the insufficiency of spleen Qi and the internal formation of Gaozhuo， which provides valuable guidance on oxidative stress. The insufficiency of spleen Qi and the internal formation of Gaozhuo represent a dynamic， evolving process. Gaozhuo invades the kidney collaterals， impairs kidney Qi， and progressively leads to the congealing and stagnation of Gaozhuo and blood， ultimately resulting in the failure of both the spleen and kidneys. The damage caused by Gaozhuo to the kidney collaterals and kidney Qi is analogous to the organ and functional damage of the kidneys induced by excessive reactive oxygen species and oxidative stress. Damage to the kidney collaterals means organic injuries to the glomeruli， renal tubules， and renal interstitium， and the depletion of kidney Qi refers to damage to glomerular filtration and renal tubular reabsorption. The congealing and stagnation of Gaozhuo and blood in the kidney collaterals is similar to oxidative stress-induced thickening of the glomerular basement membrane and fibrosis. The interaction between spleen and kidney Qi deficiency and the congealing and stagnation of Gaozhuo and blood creates a vicious cycle that exacerbates the condition， ultimately evolving into the failure of both the spleen and kidneys. The failure of the spleen and kidneys is analogous to renal failure， and its extreme manifestation is end-stage renal disease and uremia. The treatment of oxidative stress in DKD with traditional Chinese medicine （TCM） is based on the principles of strengthening the spleen and tonifying the kidneys， and dispelling turbidity and removing blood stasis. According to the syndrome type， it is recommended to use methods such as strengthening the spleen and tonifying Qi while dispelling dampness and removing turbidity， strengthening the spleen and tonifying the kidneys while dispelling dampness and removing turbidity， strengthening the spleen and tonifying the kidneys while dispelling turbidity and removing blood stasis， or consolidating the spleen and kidneys while clearing away turbidity and blood stasis.

In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the treatment of both solid and non-solid tumors,and it has become an important component of comprehensive gastric cancer treatment. The clinical application of immunotherapy in gastric cancer has gradually expanded from first-line treatment for advanced gastric cancer to perioperative treatment for resectable locally advanced gastric cancer. The use of immunotherapy combined with chemotherapy,targeted therapy,and other treatment modalities in the perioperative management of gastric cancer has injected new vitality into perioperative treatment strategies,establishing a novel model for comprehensive perioperative gastric cancer treatment. However,the application of immunotherapy in gastric cancer treatment still faces challenges such as limited high-level evidence for perioperative use,drug resistance,and adverse effects. In the future,efforts should focus on conducting high-level evidence-based clinical research on perioperative immunotherapy for gastric cancer,exploring and optimizing combined immunotherapy regimens,and delving into the molecular biological mechanisms of the tumor immune microenvironment in gastric cancer. By leveraging artificial intelligence and big data platform technologies,further optimization of screening strategies for potential beneficiaries should be pursued,and personalized precision treatment should be employed to address and overcome the challenges faced by immunotherapy in gastric cancer.

Colorectal cancer (CRC) is one of the common gastrointestinal tumors, and radiotherapy is an important treatment modality for CRC. Increased radioresistance in tumors can lead to recurrence and poor prognosis. MicroRNAs (miRNAs) are naturally occurring small non-coding RNAs whose expression patterns are associated with clinical variables such as tumor type and stage, exhibiting significant oncogenic or tumor-suppressive functions. miRNAs regulate tumor biological functions, such as proliferation, apoptosis, invasion/metastasis, and angiogenesis, at the post-transcriptional level, either directly or indirectly. Radiotherapy, which utilizes ionizing radiation (IR) to induce DNA damage, is a molecular event mainly involving the activation of intracellular signaling pathways and post-translational modification of proteins. Mutiple studies have demonstrated that miRNAs can counteract radioresistance in CRC by regulating IR-induced DNA damage, programmed cell death, exosomes, and the generation of tumor stem cells, potentially optimizing CRC treatment. This review summarizes the research progress on the role of miRNAs in radiosensitivity in CRC, aiming to provide new therapeutic insights and approaches for CRC patients.

Objective:To explore the application value of cinematic rendering reconstruction technology in laparoscopic resection of giant adrenal tumors.Methods:As many as 21 patients with large adrenal tumors who underwent laparoscopic resection in Yongchuan Hospital Affiliated to Chongqing Medical University from January 2021 to January 2024 were retrospectively analyzed, with a median age of 54.0 (40.5, 58.0) years and a median tumor diameter of 7.3 (6.8, 8.8) cm. All patients underwent preoperative cinematic rendering 3D reconstruction imaging. All patients underwent enhanced CT scans. Their CT images were three-dimensionally reconstructed on the post-processing workstation platform. By changing image perspectives, adjusting the visualization of organs or blood vessels, and using physical volume rendering, real-shadow-rendered images were obtained. With these images, surgeons can intuitively understand important preoperative information, like the relationship between the tumor and surrounding organs and the path of tumor-feeding blood vessels, for preoperative planning. Following thorough preoperative preparation, laparoscopic transabdominal resection was performed. During surgery, 20 tumors were found to be located in the adrenal gland, and 1 in the retroperitoneum, with 13 on the left side and 8 on the right side. Preoperative cinematic rendering 3D imaging was consistent with intraoperative findings.Results:All 21 patients underwent successful surgeries, with an average operation time of (199.0±95.3) minutes, a median blood loss of 220 (150, 500) ml, and a median blood transfusion volume of 200 (150, 400) ml. No significant damage of vital organs or major blood vessels occurred, and there were no case of conversion to open surgery.Conclusions:For retroperitoneal giant adrenal tumors, utilizing cinematic rendering 3D reconstruction imaging enables a comprehensive understanding of the relationship between the tumor and surrounding organs and vessels preoperatively. This approach can reduce intraoperative bleeding and collateral injuries, improve the success rate of laparoscopic resection, and enhance overall surgical safety.

The struggle between healthy qi and pathogenic factors runs through the whole process of the formation and development of diabetic cardiomyopathy(DCM),and autophagy is the main regulator of cardiac homeostasis and function.Based on the theory of healthy qi and pathogenic factors,the autophagy state of DCM was understood.In the early stage of DCM,it is mainly characterized by deficiency of healthy qi and supplemented by pathogenic excess.In the middle stage,it is characterized by deficiency of healthy qi and pathogenic excess.In the late stage,it is mainly characterized by pathogenic excess and supplemented by deficiency of healthy qi.TCM clinical practice adheres to the principle of"strengthening the healthy qi and eliminating pathogenic factors",which aims to restore the dynamic balance of autophagy in the body by adjusting the balance between healthy qi and pathogenic factors,and ultimately improve the prognosis of DCM.This article took the theory of healthy qi and pathogenic factors as the starting point,and elaborated on the role of autophagy in the development of DCM from macro and micro perspectives.It explored Chinese materia medica intervention plans for different stages of DCM,providing theoretical reference for the regulation of autophagy in DCM by TCM.

Objective:To develop and design a during-treatment records auto-review program to comply the quality assurance(QA)requirement of radiotherapy chart auditing,and thereby improve the review efficiency and accuracy.Methods:Based on the items the guideline required,the Aria Oncology Information System database backup files was analyzed by Java,Vue,and etc.languages and the corresponding review logic was formulated.A total of 530 treatment records generated at Shanghai Concord Cancer Center from January to March 2024(10 weeks)were auto-reviewed and compared with the manual results for evaluating the accuracy and efficiency of the program.Results:The auto-review program was running smoothly.Overall with the above data,the sensitivity,specificity,accuracy and the error-miss rate were 73.4%,14.3%,87.7%and 12.3%respectively.For sub-set items,the source-skin distance(SSD)error detecting rate was 100%,the wrong session reporting was 100%correlated with the plans switching and the wrong fraction reporting was 100%related to plan revision.For the other items,auto and manual reviews gave out the same accuracy.Conclusion:The none-error results from the program are all true,so the manual rechecking could limit to those auto-review error records,which can reduce the workload by 73.4%,therefore improve the effectiveness and accuracy of the radiotherapy data review.

Objective:To develop and design a during-treatment records auto-review program to comply the quality assurance(QA)requirement of radiotherapy chart auditing,and thereby improve the review efficiency and accuracy.Methods:Based on the items the guideline required,the Aria Oncology Information System database backup files was analyzed by Java,Vue,and etc.languages and the corresponding review logic was formulated.A total of 530 treatment records generated at Shanghai Concord Cancer Center from January to March 2024(10 weeks)were auto-reviewed and compared with the manual results for evaluating the accuracy and efficiency of the program.Results:The auto-review program was running smoothly.Overall with the above data,the sensitivity,specificity,accuracy and the error-miss rate were 73.4%,14.3%,87.7%and 12.3%respectively.For sub-set items,the source-skin distance(SSD)error detecting rate was 100%,the wrong session reporting was 100%correlated with the plans switching and the wrong fraction reporting was 100%related to plan revision.For the other items,auto and manual reviews gave out the same accuracy.Conclusion:The none-error results from the program are all true,so the manual rechecking could limit to those auto-review error records,which can reduce the workload by 73.4%,therefore improve the effectiveness and accuracy of the radiotherapy data review.