Intraoperative cell salvage (IOCS) has been widely applied as an important blood conservation measure in surgical operations. However, there is currently a lack of clinical practice guidelines for the implementation of IOCS in patients with malignant tumors. This report aims to provide clinicians with recommendations on the use of IOCS in patients with malignant tumors based on the review and assessment of the existed evidence. Data were derived from databases such as PubMed, Embase, the Cochrane Library and Wanfang. The guideline development team formulated recommendations based on the quality of evidence, balance of benefits and harms, patient preferences, and health economic assessments. This study constructed seven major clinical questions. The main conclusions of this guideline are as follows: 1) Compared with no perioperative allogeneic blood transfusion (NPABT), perioperative allogeneic blood transfusion (PABT) leads to a more unfavorable prognosis in cancer patients (Recommended); 2) Compared with the transfusion of allogeneic blood or no transfusion, IOCS does not lead to a more unfavorable prognosis in cancer patients (Recommended); 3) The implementation of IOCS in cancer patients is economically feasible (Recommended); 4) Leukocyte depletion filters (LDF) should be used when implementing IOCS in cancer patients (Strongly Recommended); 5) Irradiation treatment of autologous blood to be reinfused can be used when implementing IOCS in cancer patients (Recommended); 6) A careful assessment of the condition of cancer patients (meeting indications and excluding contraindications) should be conducted before implementing IOCS (Strongly Recommended); 7) Informed consent from cancer patients should be obtained when implementing IOCS, with a thorough pre-assessment of the patient's condition and the likelihood of blood loss, adherence to standardized internally audited management procedures, meeting corresponding conditions, and obtaining corresponding qualifications (Recommended). In brief, current evidence indicates that IOCS can be implemented for some malignant tumor patients who need allogeneic blood transfusion after physician full evaluation, and LDF or irradiation should be used during the implementation process.

The human oral microbiota includes over 700 microorganisms such as fungi, bacteria, archaebacteria, and viruses. The interaction between fungi and bacteria, as well as their impact on the host immune system, is currently a popular topic in the field of oral disease research. Porphyromonas gingivalis (P.g) is the key pathogenic bacterium of chronic periodontitis, while Candida albicans (C.a) is a common opportunistic pathogen. P.g and C.a are associated with various oral diseases. A review of the literature suggests that P.g and C.a synergistically increase the amount of biofilm. They adhere to each other, promoting the formation of mixed biofilms. At the same time, C.a can utilize its dense hyphae and metabolic activities to consume oxygen, providing a low-oxygen microenvironment for P.g, thereby enhancing its vitality and virulence. C.a and P.g can also enhance their virulence through heme competition mechanisms and maintain the normal morphology of P.g by extracellular polysaccharides. In addition, P.g and C.a can synergistically invade the host and escape from the host’s immune system, ultimately leading to a state of chronic infection in the host. Based on the interactions of P.g and C.a, numerous studies on prevention and treatment strategies have been conducted, including those of various composite materials and natural plants. However, such drugs are mostly limited to phenotypes and suffer from poor selectivity, thus resulting in a lack of specific drugs and research on their mechanisms. This review aims to explore the latest advances in the bacterial-fungal interactions, highlighting the roles of P.g and C.a in oral diseases, emphasizing the importance of developing treatment strategies for co-infection of P.g and C.a, and providing new ideas for the prevention and treatment of related diseases.

Organoids,recognized as invaluable models in tumor and stem cell research,assume a pivotal role in the meticulous analysis of diverse datasets pertaining to their growth dynamics,drug screening processes and related phenomena.However,the manual scrutiny and conventional statistical methodologies employed in handling organoid data often grapple with challenges such as diminished precision and efficiency,heightened complexity,escalated human resource requirements,and a degree of subjectivity.Acknowledging the remarkable efficacy of artificial intelligence(AI)in the realms of biology and medicine,the incorporation of AI into organoid research stands poised to enhance the objectivity,precision and expediency of analyses.This integration empowers organoids to more effectively fulfill objectives such as disease modeling,drug screening and precision medicine.Notably,significant strides have been made in AI-driven analyses of organoid image data.The amalgamation of deep learning into image analysis facilitates a more meticulous delineation of the microstructural intricacies and nuanced changes within organoids,achieving a level of accuracy akin to that of experts.This not only elevates the precision of organoid morphology and growth recognition,but also contributes to substantial time and cost savings in research endeavors.Furthermore,the infusion of AI technology has yielded breakthroughs in the processing of organoid omics data,resulting in heightened efficiency in data processing and the identification of latent gene expression patterns.This furnishes novel tools for comprehending cellular development and unraveling the intricate mechanisms underlying various diseases.In addition to image data,AI techniques applied to diverse organoid datasets,encompassing electrical signals and spectra,have realized an unbiased classification of organoid types and states,embarking on a comprehensive journey towards characterizing organoids holistically.In the pivotal domain of drug screening for organoids,AI emerges as a stalwart companion,providing robust support for real-time process monitoring and result prediction.Leveraging high-content microscopy images and sophisticated deep learning models,researchers can dynamically monitor organoid responses to drugs,effecting non-invasive detection of drug impacts and amplifying the precision and efficiency of drug screening processes.Despite the significant strides made by AI in organoid research,challenges persist,encompassing hurdles in data acquisition,constraints in sample quality and quantity,and quandaries associated with model interpretability.Overcoming these challenges necessitates dedicated future research efforts aimed at enhancing data consistency,fortifying model interpretability,and exploring methodologies for the seamless fusion of multimodal data.Such endeavors are poised to usher in a more comprehensive and dependable application of AI in organoid research.In summation,the integration of AI technology introduces unparalleled opportunities to organoid research,resulting in noteworthy advancements.Nevertheless,interdisciplinary research and collaborative efforts remain imperative to navigate challenges and propel the more profound integration of AI into organoid research.The future holds promise for AI to assume an even more prominent role in advancing organoid research toward clinical translation and precision medicine.

ObjectiveTo explain the anti-inflammatory and analgesic effects of Corydalis Rhizoma by the means of structure-activity omics. MethodOn the basis of the previous in vitro screening study， we studied the in vivo efficacy of the alkaloids in Corydalis Rhizoma. With the targets as a bridge， the structures of chemical components in Corydalis Rhizoma were connected with the efficacy. The molecular docking of the alkaloids in Corydalis Rhizoma with the targets of inflammation and pain was carried out. According to the docking scores and the differences in the structural nucleus of Corydalis Rhizoma alkaloids， a study of structure-activity omics was carried out to summarize the rules of their connection. ResultThe alkaloids in Corydalis Rhizoma had good anti-inflammatory and analgesic effects in vivo， involving 53 chemical components and 73 targets. There were 3 074 targets associated with inflammation and pain， and 42 targets of direct action were shared by the chemical components and the disease. The protein-protein interaction （PPI） and molecular docking analysis predicted that the main active components of Corydalis Rhizoma were tetrahydropalmatine and palmatine， and the core targets were prostaglandin endoperoxide synthase 2 （PTGS2）， glutamate receptor metabotropic 5 （GRM5）， estrogen receptor 1 （ESR1）， solute carrier family 6 member 4 （SLC6A4）， and fusion oncoproteins （FOS）. According to the differences of mother nucleus， the 53 alkaloid components of Corydalis Rhizoma were classified into 8 categories， including protoberberine， berberine， and aporphine， which had high binding affinities with PTGS2， GRM5 and other targets. The relationship between the structures of Corydalis Rhizoma alkaloids and docking scores in each group showed the same law. In protoberberine， appropriate substituents with hydroxyl， alkoxy or methyl groups on the A and D rings of the parent ring were conducive to enhancing the binding activities with the two targets. In berberine， the structure containing a methyl group on position 13 had strong binding affinities with the two targets. It is hypothesized that the methyl fragment changes the binding mode between the component structure and amino acid residues， which greatly improves the binding affinity. ConclusionThis study employs the method of structure-activity omics to analyze the material basis for the anti-inflammatory and analgesic effects of alkaloids in Corydalis Rhizoma， and the structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

[摘 要] 目的：探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法：应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达，通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系，利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性，通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果：免疫组化法结果显示，FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达（均P<0.05），且与HER2和Ki67表达有关联（P=0.03和P=0.007）。FCHO2高表达的管腔型乳腺癌患者总生存期（OS）和无复发生存期（RFS）均明显缩短（均P<0.05）。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示，乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关，涉及叉头框蛋白O（FoxO）和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关（均P<0.05）。结论：FCHO2在管腔型、HER2+乳腺癌组织中呈高表达，且与管腔型乳腺癌患者预后及免疫细胞浸润相关，其可能成为乳腺癌治疗的潜在靶点。

[摘 要] 目的：探讨内吞作用相关基因FCHO2在各亚型乳腺癌中的表达及其与乳腺癌患者的预后和免疫细胞浸润的相关性。方法：应用免疫组化法和bc-GenExMiner v5.0数据库数据分析FCHO2在各亚型乳腺癌组织中的表达，通过GEO和TIMER数据库数据分析FCHO2与各亚型乳腺癌患者预后和免疫细胞浸润的关系，利用STRING和GEPIA数据库数据分析与FCHO2的互作蛋白网络和其与互作蛋白的相关性，通过UALCAN和DAVID数据库数据对乳腺癌组织中FCHO2表达相关基因进行KEGG和GO分析。结果：免疫组化法结果显示，FCHO2在管腔型和HER2+乳腺癌组织中均呈高表达（均P<0.05），且与HER2和Ki67表达有关联（P=0.03和P=0.007）。FCHO2高表达的管腔型乳腺癌患者总生存期（OS）和无复发生存期（RFS）均明显缩短（均P<0.05）。FCHO2蛋白与EPS15等多种蛋白表达相关且构成蛋白-蛋白互作网络。KEGG和GO分析显示，乳腺癌组织中FCHO2相关表达基因主要与昼夜节律、自噬等生物学过程有关，涉及叉头框蛋白O（FoxO）和TGF-β等信号通路。FCHO2表达与各亚型乳腺癌组织中的免疫细胞浸润相关（均P<0.05）。结论：FCHO2在管腔型、HER2+乳腺癌组织中呈高表达，且与管腔型乳腺癌患者预后及免疫细胞浸润相关，其可能成为乳腺癌治疗的潜在靶点。

OBJECTIVE To observe the short-term efficacy and safety of venetoclax combined with homoharringtonine and cytarabine in the treatment of acute myeloid leukemia （AML）. METHODS The data of 40 newly diagnosed AML patients admitted to our hospital from October 2022 to November 2023 were retrospectively collected and divided into observation group and control group according to treatment plan， with 20 cases in each group. The patients in the control group were given Daunorubicin hydrochloride for injection+Cytarabine for injection， and the patients in the observation group were given Venetoclax tablets+ Homoharringtonine injection+Cytarabine for injection. The patients in both groups were given relevant medicine， with 28 days as one cycle. The short-term efficacy， negative rate of minimal residual disease （MRD）， duration of granulocyte deficiency， duration of platelet （PLT） ＜20×109 L－1， transfusion volume of suspended red blood cells and platelet， and the occurrence of adverse drug reactions were evaluated in both groups after 1 cycle of induction chemotherapy. RESULTS The complete remission or complete remission with incomplete hematologic recovery （CR/CRi） rate in the observation group was significantly higher than control group （P＜0.05）， and the negative rate of MRD in the observation group was also significantly higher than control group （P＜0.05）. However， in low-， medium- and high-risk patients， there was no statistical significance in CR/CRi rates between the two groups （P＞0.05）. There were no significant differences in the duration of agranulocytosis， the duration of PLT ＜20×109 L－1， the amount of suspended red blood cell transfusion， the amount of platelet transfusion， the incidence of hematologic toxicity and the incidence of non-hematologic toxicity between 2 groups （P＞0.05）. CONCLUSIONS Venetoclax combined with homoharringtonine and cytarabine show good short-term efficacy and safety in the treatment of AML.

Objective:To evaluate the efficacy and safety of endoscopic submucosal dissection (ESD) for circular superficial esophageal cancer.Methods:A retrospective analysis was conducted on 74 consecutive cases of circular superficial esophageal squamous cell carcinoma treated with ESD at Nanjing Drum Tower Hospital from January 2015 to December 2019. The success rate of ESD, curative resection rate, incidence of complications, and additional treatment were mainly observed.Results:One case was transferred to surgery, and the remaining 73 cases successfully completed ESD treatment. The success rate of ESD was 98.6%. Postoperative pathology of ESD revealed that 39 cases achieved curative resection, with a curative resection rate of 53.4% (39/73). Intraoperative muscle layer injury occurred in 15 cases (20.5%), and intraoperative perforation occurred in 1 case (1.4%). Two cases (2.7%) experienced delayed bleeding, and one case (1.4%) experienced delayed perforation. Eleven cases were lost to follow-up, and the remaining 62 cases received follow-up for 36.4±19.0 months. Among the follow-up cases, 12 underwent additional surgery and 5 cases additional chemotherapy and radiotherapy. Among the 57 patients with follow-up data who did not underwent surgery, 49 developed esophageal stenosis after ESD, with an incidence rate of 86.0%.Conclusion:ESD for circular superficial esophageal cancer is generally safe, but it is prone to muscle layer injury during the operation, with a low curative resection rate, a high incidence of postoperative esophageal stenosis, and a high proportion of additional surgical procedures.

OBJECTIVE To observe the clinical efficacy and safety of camrelizumab combined with sorafenib in the treatment of advanced liver cancer. METHODS Sixty patients with advanced liver cancer who were treated in our hospital from March 2020 to November 2021 were selected as the study subjects， and then were randomly divided into study group and control group， with 30 cases in each group. The control group was treated with Sorafenib tosylate tablets orally （0.4 g，bid）， and the study group was additionally given Camrelizumab for injection intravenously （200 mg， every 3 weeks） based on the control group； for all patients， the treatment was stopped until disease progression or intolerable side effects occurred. The clinical efficacy， progression-free survival （PFS）， total survival （OS） and 1-year survival rate of the two groups were compared， and the incidence of adverse reactions in two groups， and immune-related adverse reactions in the study group during treatment were recorded. RESULTS The objective remission rate of the study group was significantly higher than the control group （36.7% vs. 13.3%， P＜0.05）， and the median OS and median PFS were significantly longer than the control group （OS： 12.6 months vs. 7.9 months； PFS： 8.2 months vs. 5.3 months， P＜0.05）. There was no significant difference in the 1-year survival rate and the incidence of elevated aspartate aminotransferase and alanine aminotransferase， rash or pruritus， anorexia， diarrhea， fatigue and hypertension between the two groups （P＞0.05）. The adverse events immune-related in the study group mainly included 21 cases of reactive capillary hyperplasia （70.0%）， 6 cases of hypothyroidism （20.0%）， and 1 case of immune-associated pneumonia （3.3%）， which were improved or tolerable after symptomatic treatment. CONCLUSIONS Camrelizumab combined with sorafenib in the treatment of advanced liver cancer can effectively control and delay the disease progression， prolong the survival period of patients， and the adverse reactions can be tolerated.

The diagnosis and treatment resources for rare diseases in China are highly imbalanced. The basic diagnosis and treatment capabilities are weak, the diagnosis period for patients is long, and the rates of missed diagnosis and misdiagnosis are relatively high. The establishment of a hierarchical diagnosis and treatment system is the inevitable approach to enhancing the diagnosis and treatment standards of rare diseases. Currently, the implementation of the domestic hierarchical diagnosis and treatment system for rare diseases still confronts numerous challenges, such as ambiguous referral standards and processes of primary medical institutions, and ineffective information interaction among institutions at all levels. Thus, it is essential to facilitate high-level information construction for the hierarchical diagnosis and treatment of rare diseases. This paper explores the process of constructing a multidisciplinary joint remote diagnosis and treatment platform and a health management platform through informatization, with the hope of establishing two closed loops of digital diagnosis and treatment services and health follow-up management for patients with rare diseases, as well as achieving timely diagnosis and lifelong health management for patients. It integrates and optimizes auxiliary diagnostic tools, promotes the rapid dissemination of rare disease diagnosis and treatment experiences to the grassroots, enhances the information construction level of the hierarchical diagnosis and treatment system, and endeavors to address the practical predicament of weak diagnosis and treatment capabilities of rare diseases in grassroots medical institutions. Additionally, this paper proposes an essential approach for multi-dimensional independent innovation to guide the popularization of efficient and high-quality rare disease diagnosis and treatment services. By encompassing innovating the rare disease diagnosis and treatment collaboration network and multidisciplinary diagnosis and treatment model, facilitating the application of the latest biomedical and informatics technologies to the grassroots, and constructing a national intelligent data platform for rare disease innovation, a new model for rare disease services with Chinese characteristics will be established. This will significantly enhance the medical treatment level of rare diseases in China and strive for more benefits for patients.