OBJECTIVES: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the EGFR and KRAS genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility. This study aims to develop machine learning models based on radiomic features to predict EGFR and KRAS gene mutation status in NSCLC patients, thereby providing a reference for precision oncology. METHODS: Imaging and mutation data from eligible NSCLC patients were obtained from the publicly available Lung-PET-CT-Dx dataset in The Cancer Imaging Archive (TCIA). A three-dimensional-convolutional neural network (3D-CNN) was used to extract imaging features from the regions of interest (ROI). The LightGBM algorithm was employed to build classification models for predicting EGFR and KRAS gene mutation status. Model performance was evaluated using 5-fold cross-validation, with receiver operator characteristic (ROC) curves, area under the curve (AUC), accuracy, sensitivity, and specificity used for validation. RESULTS: The models effectively predicted EGFR and KRAS mutations in NSCLC patients, achieving an AUC of 0.95 for EGFR mutations and 0.90 for KRAS. The models also demonstrated high accuracy (EGFR 89.66%; KRAS 87.10%), sensitivity (EGFR 93.33%; KRAS 87.50%), and specificity (EGFR 85.71%; KRAS 86.67%). CONCLUSIONS A radiogenomics-machine learning predictive model can serve as a non-invasive tool for anticipating EGFR and KRAS gene mutation status in NSCLC patients.
Humans ; Carcinoma, Non-Small-Cell Lung/diagnostic imaging* ; Lung Neoplasms/diagnostic imaging* ; Mutation ; Proto-Oncogene Proteins p21(ras)/genetics* ; ErbB Receptors/genetics* ; Machine Learning ; Positron Emission Tomography Computed Tomography ; Female ; Male ; Neural Networks, Computer ; Middle Aged ; Aged

Objective To analyze clinical characteristics and therapeutic strategies for patients with Trichosporon asahii(T.asahii)bloodstream infection(BSI),and provide reference for clinical diagnosis and treatment for such disease.Methods Diagnosis and treatment process of a patient with T.asahii BSI were reported.China National Knowledge Infrastructure(CNKI),Wanfang,PubMed,and Web of Science databases were retrieved using key-words:"Trichosporon asahii"and"bloodstream infection".Patients'age,gender,underlying diseases,immune status,treatment,and clinical outcome as well as antimicrobial susceptibility testing results of T.asahii were ana-lyzed retrospectively.Results The leukemia patient developed T.asahii BSI during chemotherapy,and showed clinical improvement after treatment with fluconazole+flucytosine.A total of 44 cases(43 from literature plus this index case)were analyzed.Among these cases,28 were males,the median age was 54.5 years old.The underlying diseases were predominantly hematological diseases.Catheter,urinary tract,and skin were identified as concurrent culture-positive sites.Azoles exhibited good antimicrobial activity in vitro,with voriconazole showing the strongest activity and associated with significantly higher survival rates.Under the guidance of antimicrobial susceptibility tes-ting results,patients with fluconazole treatment had a higher survival rate.At minimum inhibitory concentrations(MICs)of 4-8 μg/mL of fluconazole,fluconazole combined with other agents was predominantly required.Am-photericin B demonstrated good in vitro activity,but the overall survival rate of patients was low when amphotericin B was used as monotherapy without azoles.Catheters removal,surgical intervention,and neutrophil recovery were influencing factors for enhanced survival rates.Conclusion BSI caused by T.asahii primarily occurs in patients with hematological diseases,with neutropenia being a high-risk factor.Infection sites at catheter,urinary tract,and skin may be infection sources.Clearing the source of infection and promoting the recovery of neutrophils can help to improve survival rates of patients.For voriconazole-intolerant patients,fluconazole monotherapy or in combination with flucytosine/amphotericin B can be used alternatively based on antimicrobial susceptibility testing results.

Objective To analyze clinical characteristics and therapeutic strategies for patients with Trichosporon asahii(T.asahii)bloodstream infection(BSI),and provide reference for clinical diagnosis and treatment for such disease.Methods Diagnosis and treatment process of a patient with T.asahii BSI were reported.China National Knowledge Infrastructure(CNKI),Wanfang,PubMed,and Web of Science databases were retrieved using key-words:"Trichosporon asahii"and"bloodstream infection".Patients'age,gender,underlying diseases,immune status,treatment,and clinical outcome as well as antimicrobial susceptibility testing results of T.asahii were ana-lyzed retrospectively.Results The leukemia patient developed T.asahii BSI during chemotherapy,and showed clinical improvement after treatment with fluconazole+flucytosine.A total of 44 cases(43 from literature plus this index case)were analyzed.Among these cases,28 were males,the median age was 54.5 years old.The underlying diseases were predominantly hematological diseases.Catheter,urinary tract,and skin were identified as concurrent culture-positive sites.Azoles exhibited good antimicrobial activity in vitro,with voriconazole showing the strongest activity and associated with significantly higher survival rates.Under the guidance of antimicrobial susceptibility tes-ting results,patients with fluconazole treatment had a higher survival rate.At minimum inhibitory concentrations(MICs)of 4-8 μg/mL of fluconazole,fluconazole combined with other agents was predominantly required.Am-photericin B demonstrated good in vitro activity,but the overall survival rate of patients was low when amphotericin B was used as monotherapy without azoles.Catheters removal,surgical intervention,and neutrophil recovery were influencing factors for enhanced survival rates.Conclusion BSI caused by T.asahii primarily occurs in patients with hematological diseases,with neutropenia being a high-risk factor.Infection sites at catheter,urinary tract,and skin may be infection sources.Clearing the source of infection and promoting the recovery of neutrophils can help to improve survival rates of patients.For voriconazole-intolerant patients,fluconazole monotherapy or in combination with flucytosine/amphotericin B can be used alternatively based on antimicrobial susceptibility testing results.

Objective This study aims to extract medical events from the ancient Chinese medical book"Treatise on Febrile Diseases"and explore their internal connections.By constructing an event evolution graph,this study visualizes the progression of diseases related to the three Yang and three Yin,provides new ideas for the digitization of ancient Chinese medical literature,and offers more intuitive learning and reference material for modern clinical practice and education in Traditional Chinese Medicine(TCM).Methods Taking the classic TCM literature"Treatise on Febrile Diseases"as the research subject,we initially used a combination of the BERT model and LSTM-CRF model to identify medical events and their argument constituents in the ancient text.Then,an improved SpERT model was employed to identify multi-event relationships.Finally,we constructed an event evolution graph of"Treatise on Febrile Diseases"with medical events as nodes and event relationships as edges,which represents the internal connections among medical events.Results The models mentioned above achieved a precision rate of 0.768,a recall rate of 0.761,and an F1 score of 0.772 for identifying medical events and their argument constituents.Additionally,achieving a precision rate of 0.736,a recall rate of 0.682,and an F1 score of 0.687 for recognizing complex event relationships.Through the above model,the text of Treatises of Febrile Diseases was extracted,and finally the theory graph was constructed by Neo4j,which contained 3518 medical events and 5294 event relationships.Conclusion The event evolution graph organizes medical events in a cohesive manner,facilitating understanding of the relationships among diseases,patterns,treatments,prescriptions,and outcomes.Therefore,it provides a multidimensional approach for learning and guiding clinical practice in TCM.

Objective This study aims to extract medical events from the ancient Chinese medical book"Treatise on Febrile Diseases"and explore their internal connections.By constructing an event evolution graph,this study visualizes the progression of diseases related to the three Yang and three Yin,provides new ideas for the digitization of ancient Chinese medical literature,and offers more intuitive learning and reference material for modern clinical practice and education in Traditional Chinese Medicine(TCM).Methods Taking the classic TCM literature"Treatise on Febrile Diseases"as the research subject,we initially used a combination of the BERT model and LSTM-CRF model to identify medical events and their argument constituents in the ancient text.Then,an improved SpERT model was employed to identify multi-event relationships.Finally,we constructed an event evolution graph of"Treatise on Febrile Diseases"with medical events as nodes and event relationships as edges,which represents the internal connections among medical events.Results The models mentioned above achieved a precision rate of 0.768,a recall rate of 0.761,and an F1 score of 0.772 for identifying medical events and their argument constituents.Additionally,achieving a precision rate of 0.736,a recall rate of 0.682,and an F1 score of 0.687 for recognizing complex event relationships.Through the above model,the text of Treatises of Febrile Diseases was extracted,and finally the theory graph was constructed by Neo4j,which contained 3518 medical events and 5294 event relationships.Conclusion The event evolution graph organizes medical events in a cohesive manner,facilitating understanding of the relationships among diseases,patterns,treatments,prescriptions,and outcomes.Therefore,it provides a multidimensional approach for learning and guiding clinical practice in TCM.

Tumor recurrence is one of the major life-threatening complications after liver transplantation for liver cancer. In addition to the common mechanisms underlying tumor recurrence, another unavoidable problem is that the immunosuppressive therapeutic regimen after transplantation could promote tumor recurrence and metastasis. Transplant oncology is an emerging field that addresses oncological challenges in transplantation. In this context, a comprehensive therapeutic management approach is required to balance the anti-tumor treatment and immunosuppressive status of recipients. Double-negative T cells (DNTs) are a cluster of heterogeneous cells mainly consisting of two subsets stratified by T cell receptor (TCR) type. Among them, TCRαβ⁺ DNTs are considered to induce immune suppression in immune-mediated diseases, while TCRγδ⁺ DNTs are widely recognized as tumor killers. As a composite cell therapy, healthy donor-derived DNTs can be propagated to therapeutic numbers in vitro and applied for the treatment of several malignancies without impairing normal tissues or being rejected by the host. In this work, we summarized the biological characteristics and functions of DNTs in oncology, immunology, and transplantation. Based on the multiple roles of DNTs, we propose that a new balance could be achieved in liver transplant oncology using them as an off-the-shelf adoptive cell therapy (ACT).
Humans ; T-Lymphocytes ; Immunotherapy, Adoptive ; Neoplasm Recurrence, Local ; Transplantation, Homologous ; Cell- and Tissue-Based Therapy

Accurate tumor targeting, deep penetration and superb retention are still the main pursuit of developing excellent nanomedicine. To achieve these requirements, a stepwise stimuli-responsive strategy was developed through co-administration tumor penetration peptide iRGD with shape-transformable and GSH-responsive SN38-dimer (d-SN38)-loaded nanoparticles (d-SN38@NPs/iRGD). Upon intravenous injection, d-SN38@NPs with high drug loading efficiency (33.92 ± 1.33%) could effectively accumulate and penetrate into the deep region of tumor sites with the assistance of iRGD. The gathered nanoparticles simultaneously transformed into nanofibers upon 650 nm laser irradiation at tumor sites so as to promote their retention in the tumor and burst release of reactive oxygen species for photodynamic therapy. The loaded d-SN38 with disulfide bond responded to the high level of GSH in tumor cytoplasm, which consequently resulted in SN38 release and excellent chemo-photodynamic effect on tumor.

OBJECTIVE:To probe into the characteristics and general pattern of ADR cases in our hospital.METHODS:A total of 469 ADR cases which were collected from our hospital from Jun.1,2009 to May.31,2010 had been reported to National Adverse Drug Reaction Monitoring Network.Those cases were analyzed statistically.RESULTS:Of total 469 cases,60.77% were male which was higher than female(39.23%);131 cases were induced by antibiotics,accounting for 27.93%.Most of ADR cases were induced by injection and intravenous administration,accounting for 85.50% and 85.93%.Lesions of skin and its appendants were the most common clinical manifestations of ADR,accounting for 26.58%(126 cases).There were severe ADR of 9 cases(1.92%).All of ADR cases were cured or improved.CONCLUSION:Great importance should be attached to ADR monitoring in the clinic,especially application indication of antibiotics,in order to reduce the incidence of ADR.