Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Driven by the growing practical need to accelerate drug development and the continuous innovation of trial design in recent years， the number of protocol amendments during clinical trials have gradually increased， and the changed contents have become more flexible and complex， which significantly heightens the difficulty of ethical review on amendments. Against this backdrop， it is of great importance to fully leverage the role and responsibilities of ethics committees， effectively control clinical trial risks， and ensure subject safety. This paper analyzed development trends of protocol amendments in recent years， sorted out requirements for protocol amendments in Chinese regulations and guiding principles， and examined difficulties of amendment ethical review in practical work. Based on these， targeted strategies and recommendations were proposed， namely， strengthening the integration with scientific review， enhancing the formal review， adjusting the scope of review according to approval notifications， and adopting appropriate review methods， with a view to providing insights and references for the management of the amendment ethical review in drug clinical trials.

ObjectiveTo study the chemical constituents of Bidens pilosa and the in vitro antiproliferative activity of some compounds against gastric cancer cells. MethodsThe chemical constituents were isolated and purified by methods such as silica gel column chromatography， preparative thin layer chromatography， medium pressure preparation chromatography， semi-preparative high performance liquid chromatography（HPLC） and recrystallization， their structures were identified on the basis of physicochemical properties， spectral data and circular dichroism spectra. Thiazole blue（MTT） assay was used to determine the in vitro inhibitory activityies of some isolated compounds against human gastric cancer SGC-7901 cells， and molecular docking was used to predict their potential targets. ResultsTwenty-five compounds were isolated from the petroleum ether fraction of B. pilosa and identified as bidpillignan A（1）， 5α， 8α-epidioxy-（22E， 24R）-ergosta-6， 22-diene-3β-ol（2）， 3β-hydroxysitost-5-en-7-one（3）， （20R）-6β-hydroxystigmasta-4， 22-dien-3-one（4）， 3β-hydroxylstigmasta-5， 22-dien-7-one（5）， （22E， 24S）-24-methyl-5α-choleata-7， 22-diene-3β， 5α， 6β-triol（6）， stigamast-5-ene-3β， 7α-diol（7）， stigmast-5， 22-diene-3β， 7α-diol（8）， 7β-hydroxysitosterol（9）， stigmasterol（10）， artabotrol（11）， cosmosoic acid（12）， ent-4（15）-eudesmene-1β， 6α-diol（13）， clovandiol（14）， 1H-indole-3-carboxaldehyde（15）， 6， 7-dimethoxycoumarin（16）， 3'， 4'-dimethoxyquercetin（17）， 8， 8'-bis-（dihydroconiferyl）-diferuloylate（18）， hydroxydihydrobovolide（19）， 2-deacetyl-11β， 13-dihydroxyxanthinin（20）， loliolide（21）， pubescone（22）， （+）-dehydrovomifoliol（23）， 2， 3-dihydroxypropyl palmitate（24） and n-hexadecane acid（25）. Among them， compound 1 was a new compound， compounds 3-9， 11-12， 18-20， 22-23 were first isolated from Bidens genus plants， and compounds 13 and 14 were isolated from this plant for the first time. Compounds 17 and 18 showed good in vitro proliferation inhibitory activities against SGC-7901 cells with the half inhibitory concentrations（IC₅₀） of 3.11， 7.22 μmol·L^-1， respectively. Molecular docking results showed that the potential targets of the two exerting anti-gastric cancer activity might be vascular endothelial growth factor receptor 2（VEGFR2） and poly（adenosine diphosphate-ribose） polymerase 7（PARP7）. ConclusionOne new compound， 14 genus first compounds， and 2 species first compounds were isolated from B. pilosa， among which compounds 17 and 18 processed anti-gastric cancer cell proliferation activity in vitro， and the targets may be VEGFR2 and PARP7.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

OBJECTIVE To explore the effects of prescription pre-review system on rational drug use and off-label drug use management in outpatient and emergency department. METHODS A retrospective analysis was conducted on outpatient and emergency department prescription data from three phases in our hospital： January to May 2023 （silent review phase， control group）， June to October 2023 （systematic automatic review phase， intervention group 1）， and November 2023 to March 2024 （phase combining systematic automatic review with centralized feedback from pharmacists to physicians regarding irrational prescriptions， intervention group 2）. These phases followed the implementation of our hospital’s pre-prescription review software. Statistical analysis of the prompt rate of alert， rate of irrational prescriptions， registered the off-label drug use rate and false positive irrationality prescription rate were conducted. Meanwhile， the composition of irrational prescriptions was analyzed， and evidence- based evaluation of the off-label drug use proposed by clinicians was also conducted. RESULTS Compared with control group， the prompt rate of alert and the rate of irrational prescriptions in intervention group 1 were all decreased significantly after receiving pop-up notification， with statistically significant differences （P＜0.05）. With the help of system warning and the pharmacists feedback， the prompt rate of alert and the rate of irrational prescriptions declined further in the intervention group 2， but there was no statistically significant difference when compared with intervention group 1 （P＞0.05）. The main type of irrational drug use was improper administration routes. When comparing intervention group 1 with the control group， as well as intervention group 2 with intervention group 1， a significant decrease in the rate of improper administration routes was observed， with statistically significant differences （P＜0.05）. Compared with control group， there was no significant difference in the registered off-label drug use rate of intervention group 1 and intervention group 2 （P＞0.05）. The doctor’s awareness of off-label drug use registration increased due to the real-time alerts from the pre-prescription review software， along with the pharmacists’ regular summarization and feedback. Total 13 items registrations of off-label drug use were proposed by clinicians from June 2023 to March 2024， all of which were supported by evidence of varying levels； among them， 3 items received FDA approval， 4 items were included in the Micromedex database， and the remaining 6 items were supported by evidence from system reviews or randomized controlled trials. CONCLUSIONS Prescription pre-review system can improve the level of rational drug use and assist in the standardized management of off-label drug use.

Neurological disorders are an important cause of global human disease burden， but the mechanisms of the development and progression of neurological disorders remain unclear， and most studies have shown that they are associated with the expression of mutations in human genes. MEF2D， as an important transcription factor in the MEF2 family， plays an important role in both physiological and pathological processes. Related studies have found that MEF2D can be involved in neuronal survival， regulate neuronal responses to stimuli， and participate in the pathogenic process of neurological disorders. This article reviews the research advances in MEF2D in common neurological disorders.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

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.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.