The 2024 World Conference on Lung Cancer (WCLC) and the European Society for Medical Oncology (ESMO) Annual Meeting, two of the most prestigious events in oncology, have concluded sequentially. As the most authoritative annual gatherings in lung cancer and the entire oncology field, the WCLC and ESMO conferences brought together top oncology experts and scientists from around the world to share, discuss, and publish the latest cutting-edge advancements in oncology. In both conferences, lung cancer immunotherapy remained a hot topic of considerable interest. This article aims to summarize and discuss the important research progress on perioperative immunotherapy for non-small cell lung cancer reported at the two conferences.

It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

The 2025 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held from January 23 to 25, 2025. Several significant studies on the treatment of esophageal and gastroesophageal junction (GEJ) cancer were presented at the symposium, highlighting notable advances, particularly in the perioperative and advanced settings. Immunotherapy has demonstrated significant promise in the neoadjuvant treatment of esophageal cancer, showing potential to become a standard treatment. Furthermore, the long-term survival benefits of combining immunotherapy with chemotherapy for advanced GEJ cancer were further validated. This article summarizes and interprets the researches presented at the symposium concerning perioperative and advanced treatments for esophageal and GEJ cancers.

PURPOSE: Early mortality in major trauma has decreased, but MODS remains a leading cause of poor outcomes, driven by trauma-induced cytokine storms that exacerbate injuries and organ damage. METHODS: This prospective cohort study included 79 major trauma patients (ISS >15) treated in the National Center for Trauma Medicine, Peking University People's Hospital, from September 1, 2021, to July 31, 2023. Patients (1) with ISS >15 (according to AIS 2015), (2) aged 15-80 years, (3) admitted within 6 h of injury, (4) having no prior treatment before admission, were included. Exclusion criteria were (1) GCS score <9 or AIS score ≥3 for TBI, (2) confirmed infection, infectious disease, or high infection risk, (3) pregnancy, (4) severe primary diseases affecting survival, (5) recent use of immunosuppressive or cytotoxic drugs within the past 6 months, (6) psychiatric patients, (7) participation in other clinical trials within the past 30 days, (8) patients with incomplete data or missing blood samples. Admission serum inflammatory cytokines and pathophysiological data were analyzed to develop machine learning models predicting MODS within 7 days. LR, DR, RF, SVM, NB, and XGBoost were evaluated based on the area under the AUROC. The SHAP method was used to interpret results. RESULTS: This study enrolled 79 patients with major trauma, and the median (Q₁, Q₃) age was 51 (35, 59) years (52 males, 65.8%). The inflammatory cytokine data were collected for all participants. Among these patients, 35 (44.3%) developed MODS, and 44 (55.7%) did not. Additionally, 2 patients (2.5%) from the MODS group succumbed. The logistic regression model showed strong performance in predicting MODS. Ten key cytokines, IL-18, Eotaxin, MCP-4, IP-10, CXCL12, MIP-3α, MCP-1, IL-1RA, Cystatin C, and MRP8/14 were identified as critical to the trauma-induced cytokine storm and MODS development. Early elevation of these cytokines achieved high predictive accuracy, with an AUROC of 0.887 (95% CI 0.813-0.976). CONCLUSION Trauma-induced cytokine storms are strongly associated with MODS. Early identification of inflammatory cytokine changes enables better prediction and timely interventions to improve outcomes.
Humans ; Prospective Studies ; Middle Aged ; Male ; Female ; Adult ; Aged ; Cytokine Release Syndrome/etiology* ; Adolescent ; Young Adult ; Aged, 80 and over ; Wounds and Injuries/complications* ; Cytokines/blood* ; Multiple Organ Failure/diagnosis* ; Machine Learning

Understanding microbial-host interactions in the oral cavity is essential for elucidating oral disease pathogenesis and its systemic implications. In vitro bacteria-host cell coculture models have enabled fundamental studies to characterize bacterial infection and host responses in a reductionist yet reproducible manner. However, existing in vitro coculture models fail to establish conditions that are suitable for the growth of both mammalian cells and anaerobes, thereby hindering a comprehensive understanding of their interactions. Here, we present an asymmetric gas coculture system that simulates the oral microenvironment by maintaining distinct normoxic and anaerobic conditions for gingival epithelial cells and anaerobic bacteria, respectively. Using a key oral pathobiont, Fusobacterium nucleatum, as the primary test bed, we demonstrate that the system preserves bacterial viability and supports the integrity of telomerase-immortalized gingival keratinocytes. Compared to conventional models, this system enhanced bacterial invasion, elevated intracellular bacterial loads, and elicited more robust host pro-inflammatory responses, including increased secretion of CXCL10, IL-6, and IL-8. In addition, the model enabled precise evaluation of antibiotic efficacy against intracellular pathogens. Finally, we validate the ability of the asymmetric system to support the proliferation of a more oxygen-sensitive oral pathobiont, Porphyromonas gingivalis. These results underscore the utility of this coculture platform for studying oral microbial pathogenesis and screening therapeutics, offering a physiologically relevant approach to advance oral and systemic health research.
Coculture Techniques/methods* ; Humans ; Fusobacterium nucleatum/physiology* ; Gingiva/microbiology* ; Keratinocytes/microbiology* ; Host Microbial Interactions ; Mouth/microbiology* ; Host-Pathogen Interactions ; Epithelial Cells/microbiology* ; Cells, Cultured ; Porphyromonas gingivalis

Host-derived small RNAs are emerging as critical regulators in the dynamic interactions between host tissues and the microbiome, with implications for microbial pathogenesis and host defense. Among these, transfer RNA-derived small RNAs (tsRNAs) have garnered attention for their roles in modulating microbial behavior. However, the bacterial factors mediating tsRNA interaction and functionality remain poorly understood. In this study, using RNA affinity pull-down assay in combination with mass spectrometry, we identified a putative membrane-bound protein, annotated as P-type ATPase transporter (PtaT) in Fusobacterium nucleatum (Fn), which binds Fn-targeting tsRNAs in a sequence-specific manner. Through targeted mutagenesis and phenotypic characterization, we showed that in both the Fn type strain and a clinical tumor isolate, deletion of ptaT led to reduced tsRNA intake and enhanced resistance to tsRNA-induced growth inhibition. Global RNA sequencing and label-free Raman spectroscopy revealed the phenotypic differences between Fn wild type and PtaT-deficient mutant, highlighting the functional significance of PtaT in purine and pyrimidine metabolism. Furthermore, AlphaFold 3 prediction provides evidence supporting the specific binding between PtaT and Fn-targeting tsRNA. By uncovering the first RNA-binding protein in Fn implicated in growth modulation through interactions with host-derived small RNAs (sRNAs), our study offers new insights into sRNA-mediated host-pathogen interplay within the context of microbiome-host interactions.
Fusobacterium nucleatum/growth & development* ; RNA-Binding Proteins/genetics* ; Bacterial Proteins/genetics* ; RNA, Bacterial/metabolism* ; Humans ; RNA, Transfer/metabolism*

Surgery is an important treatment for the anterior mediastinal disease. With the rapid development of minimally invasive techniques, complete resection of the lesion in most patients with thymic disease can be achieved through thoracoscopic surgery. Practice has proved that the three-port resection of anterior mediastinal thymus disease via the subxiphoid approach is an ideal surgical method for the treatment of anterior mediastinal thymic tumors at present, which has strong popularization and popularity and can benefit the patients. The procedure focuses primarily on the anterior and upper mediastinum and can thoroughly expose the anatomy of the mediastinum and both sides, with minimal intraoperative bleeding, high safety, minimal trauma and postoperative pain, and a short hospital stay. It has clear advantages over conventional thoracic open-heart surgery and transversal resection. However, the surgical approach and field of view, and intraoperative precautions of this procedure are completely different from those of previous thoracoscopic procedures, and from the subxiphoid single-port approach adopted by other centers. Based on 10 years of surgical experience at our center, a modular mode of surgical operation has been developed and its procedure has been standardized. This paper will share and discuss relevant operational points and experiences.

Orchitis is a common male genitourinary disorder that significantly impacts patients' life quality.Current treatment strategies have certain limitations and side effects.Ongoing therapeutic strategies focus on the interactions and regulatory networks among pathways and factors involved in the progression of orchitis.The targeted pharmacological agents include inflammatory pathways (p38MAPK, NF-κB, PI3K/Akt), cytokines (TNF-α, IL-6), and the nitric oxide synthase (NOS) system.However, these studies are currently at the animal research stage, and further clinical investigations are necessary to validate their efficacy and safety before clinical use.This article reviews the preclinical animal studies on new treatment methods of orchitis from the aspects of autoimmunity and exogenous microorganism induction, including ketotifen furmarate, aspirin, L-NAME, activin A, cortisol, melatonin, methane, long non-coding RNA MEG3, Abaloparatide, recombinant type Ⅰ interferon, and so on.

Objective The MMV-Net,a deep learning framework based on mammogram multiple views,was constructed to evaluate the classification performance of the model for benign and malignant masses.Methods A retrospective analysis was conduc-ted on a dataset of 1 585 breast X-ray images from Harbin Medical University Cancer Hospital from 2018 to 2020,including 806 be-nign cases and 779 malignant cases.The dataset was divided into the training set(n=1268)and the test set(n=317)according to an 8∶2 ratios,and the training set was stratified according to the 5-fold cross validation.The integrated DDSM dataset and INBreast dataset were used as external test sets(n=1645)to evaluate the model performance.Each case in the input layer contained 4 views.The MMV-Net model was constructed by removing the last two layers of the ResNet22 network structure and adding an average poo-ling layer as the feature extraction layer,as well as fully connection layer and softmax activation function as the decision layers.Bayes-ian hyperparameter optimization was used.The performance of MMV-Net,MFA Net,and ensemble inception V4 models in AUC val-ues,accuracy,precision,recall and F1 scores were compared.Results The AUC values of MMV-Net model for distinguishing benign and malignant masses on the test set were 0.913,0.882 for MFA-Net,and 0.865 for inception V4.The accuracy and precision evalu-ation metrics of the MMV-Net model were also higher than the other two models.Conclusion The deep learning MMV-Net model based on multiple views of mammogram is helpful for the classification of benign and malignant breast masses.