BACKGROUND: Durvalumab after chemoradiotherapy (CRT) failed to bring survival benefits to patients with epidermal growth factor receptor ( EGFR ) mutations in PACIFIC study (evaluating durvalumab in patients with stage III, unresectable NSCLC who did not have disease progression after concurrent chemoradiotherapy). We aimed to explore whether locally advanced inoperable patients with EGFR mutations benefit from tyrosine kinase inhibitors (TKIs) and the optimal treatment regimen. METHODS: We searched the PubMed, Embase, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov databases from inception to December 31, 2022 and performed a meta-analysis based on a Bayesian framework, with progression-free survival (PFS) and overall survival (OS) as the primary endpoints. RESULTS: A total of 1156 patients were identified in 16 studies that included 6 treatment measures, including CRT, CRT followed by durvalumab (CRT-Durva), TKI monotherapy, radiotherapy combined with TKI (RT-TKI), CRT combined with TKI (CRT-TKI), and TKI combined with durvalumab (TKI-Durva). The PFS of patients treated with TKI-containing regimens was significantly longer than that of patients treated with TKI-free regimens (hazard ratio [HR] = 0.37, 95% confidence interval [CI], 0.20-0.66). The PFS of TKI monotherapy was significantly longer than that of CRT (HR = 0.66, 95% CI, 0.50-0.87) but shorter than RT-TKI (HR = 1.78, 95% CI, 1.17-2.67). Furthermore, the PFS of RT-TKI or CRT-TKI were both significantly longer than that of CRT or CRT-Durva. RT-TKI ranked first in the Bayesian ranking, with the longest OS (60.8 months, 95% CI = 37.2-84.3 months) and the longest PFS (21.5 months, 95% CI, 15.4-27.5 months) in integrated analysis. CONCLUSIONS: For unresectable stage III EGFR mutant NSCLC, RT and TKI are both essential. Based on the current evidence, RT-TKI brings a superior survival advantage, while CRT-TKI needs further estimation. Large randomized clinical trials are urgently needed to explore the appropriate application sequences of TKI, radiotherapy, and chemotherapy. REGISTRATION PROSPERO; https://www.crd.york.ac.uk/PROSPERO/ ; No. CRD42022298490.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; ErbB Receptors/genetics* ; Lung Neoplasms/drug therapy* ; Mutation/genetics* ; Protein Kinase Inhibitors/therapeutic use* ; Chemoradiotherapy ; Antibodies, Monoclonal/therapeutic use*

OBJECTIVE To evaluate the efficacy of oral and facial muscle functional training in treating adult obstructive sleep apnea(OSA)and to identify clinical indicators influencing treatment outcomes.METHODS Through a prospective cohort study,patients diagnosed with OSA in the study unit were recruited to undergo a 3-month myofunctional therapy,including soft palate-related muscles,tongue muscles,buccal muscles,and labial muscles in multiple muscle groups,once a day,five times a week,with the use of offline clinic guidance,and the APP program video follow up training for effective training.Data were collected on multiple dimensions including physical signs,sleep breathing monitoring parameters,and airway measurements from imaging studies.Treatment efficacy was assessed by comparing subjective and objective sleep indicators before and after training.Patients were categorized into effective and ineffective groups based on treatment outcomes.Differences in baseline clinical indicators between these groups were analyzed using univariate and multivariate regression analyses.RESULTS The study finally included 58 people,51 males and 7 females,age(38.36±8.96)years,BMI(27.14±3.68)kg/m2,AHI of the enrolled patients was reduced from(31.27±22.28)times/h pre-training to(26.27±21.38)times/h post-training,the minimum oxygen saturation was increased from(78.43±10.07)%to(80.50±10.06)%,snoring index decreased from(62.80±75.20)times/h to(36.40±43.19)times/h,and ESS score decreased from 7.00±5.31 pre-training to 5.50±3.17.By comparing the effective and ineffective groups,it was found that there was a statistically significant difference in the tongue position and ESS scores between the two groups(both P<0.05),while no significant differences were found in gender,age,neck circumference,posterior soft palate area,uvula area,posterior tongue area,or posterior epiglottic area(all P>0.05).Univariate logistic regression analysis indicated that tongue position,AHI,and ESS scores were factors affecting the efficacy of oral and facial muscle function training.Multivariate regression analysis revealed that AHI was an independent prognostic factor for this training in OSA patients.CONCLUSION Oral and facial muscle function training can improve both subjective and objective sleep breathing indices in OSA patients.Tongue position,AHI,and ESS scores may serve as prognostic factors for OSA treatment,aiding in guiding subsequent individualized intervention therapies.

Objective:To investigate the relationship between the Palatopharyngeal Arch Staging System（PASS） and the severity of Obstructive Sleep Apnea（OSA）, as well as the patterns of airway collapse, while further assessing its clinical applicability. Methods:A total of 98 patients diagnosed with OSA at the Department of Otorhinolaryngology Head and Neck Surgery, Shenzhen University Affiliated Shenzhen Hospital, were recruited for this study. Data collected included basic demographic information, oropharyngeal laryngoscopy videos, results from awake laryngoscopy Muller tests, and indicators from sleep respiratory monitoring. The distribution of each PASS stage among patients with varying severities of OSA was compared. Additionally, both objective and subjective sleep indicators along with occurrences of airway collapse in OSA patients across different PASS stages were analyzed. Results:In total, 98 patients participated in this study. Statistically significant differences were observed in neck circumference, weight, Body Mass Index（BMI）, tongue position, and PASS stage when comparing mild-to-moderate OSA patients to those with severe OSA（P<0.05）. Furthermore, there were statistically significant variations in Apnea-Hypopnea Index（AHI）, minimum blood oxygen saturation levels, average blood oxygen saturation levels, oxygen desaturation index values, and total oxygen desaturation indices among OSA patients categorized by different PASS stages. Multiple comparisons revealed statistically significant differences in AHI as well as minimum and average blood oxygen saturation levels between patients at PASS 1 versus those at PASS 3（P<0.05）. Additionally, notable differences regarding oropharyngeal collapse rates among OSA patients across various PASS stages were identified; specifically between those at PASS stage 1 and those at PASS stage 3. Conclusion:The proportion of PASS stages for OSA varies across different severity levels. The severity of OSA and the degree of airway collapse in patients with varying PASS stages also exhibit significant differences. Patients classified as PASS 3 demonstrate a more severe form of OSA compared to those at PASS 1, with stage 3 being more susceptible to oropharyngeal collapse than its stage 1 counterpart. This assessment system is anticipated to address the current limitations in evaluating the lateral pharyngeal wall within the oropharynx.
Humans ; Sleep Apnea, Obstructive/pathology* ; Male ; Severity of Illness Index ; Female ; Middle Aged ; Polysomnography ; Adult ; Pharynx/physiopathology* ; Aged

Lung cancer poses a serious threat to global public health security.Chemotherapy,as the main strategy for cancer treatment,faces challenges such as high toxicity and drug resistance.Anticancer peptides have the potential of being developed into new anticancer drugs due to their advantages of broad-spectrum anticancer activity,rapid action,and difficulty in generating drug resistance,but they also face shortcomings such as weak activity and strong toxic side effects.The weakly acidic microenvironment of tumors(pH 6.5-6.8)provides a good idea for the design of anticancer peptides of high-efficiency and low-toxicity.Previously,we designed the acid-sensitive antibacterial peptide pHly-1 using the wolf spider(Lycosa singoriensis)toxin Lycosin-Ⅰ as a template.In this study,we found that pHly-1 also had acid-sensitive anticancer activity.Further alanine scanning analysis of pHly-1 was carried out,and we ob-tained a mutant pHTP-2 with better acid sensitivity,whose IC50(half maximal inhibitory concentration)against A549 cells was 15.68 μmol/L at pH 6.6 and was greater than 100 μmol/L at pH 7.4.At pH 6.6,pHTP-2 could act on various lung cancer cell lines and induce the death of A549 cells by rapid ly-sis;at pH 7.4,500 μmol/L pHTP-2 had weak toxicity to red blood cells(the hemolysis rate was ap-proximately 38％)and primary myocardial cells(the inhibition rate was 49.7％,with P＜0.05).Analy-sis of its charge,particle size,morphology,and secondary structure showed that at pH 6.6,the histidine in the sequence of pHTP-2 was protonated,increasing the positive charge(P＜0.01),decreasing the hy-drated particle size(P＜0.05)and forming an α-helical structure to induce membrane lysis of A549 cells.At pH 7.4,it was deprotonated,the positive charge decreases,a β-sheet structure was formed and self-aggregation occurred,limiting its effect on the A549 cell membrane and showing weak activity.In summary,pHTP-2 could respond to the weakly acidic microenvironment of tumors to exert selective cyto-toxic activity,effectively overcoming the shortcomings of anticancer peptides such as low efficiency and high toxicity.Our findings suggest that it is a high-quality lead molecule for anticancer drugs.

Objective To investigate the compliance of hormone receptor-positive breast cancer patients with prolonged endocrine therapy and analyze its influencing factors.Methods This study was a retrospective cohort study.A total of 347 patients with breast cancer who received prolonged endocrine therapy in our hospital from June 2017 to March 2023 were selected.Relevant data of the patients were collected and they were divided into two groups according to whether they adhered to prolonged endocrine therapy:the compliance group and the non-compliance group.Using the x2 test to analyze the impact of patients'disease-related data on prolonging compliance with endocrine therapy.Use Logistic regression to analyze its influencing factors.Results Among 347 breast cancer patients who received extended endocrine therapy,during the median follow-up of 28 months(ranging from 12 to 60 months),319 patients(91.9％)adhered to extended endocrine therapy(compliance group),and their treatment compliance was acceptable.Twenty-eight cases(8.1％)of patients did not adhere to prolonged endocrine therapy(non-compliance group).Multivariate analysis showed that the independent factors Influencing the compliance of breast cancer patients with prolonged endocrine therapy were comorbidities and radiotherapy(P＜0.05).Conclusion Based on the characteristics of influencing factors,behavioral interventions such as increasing follow-up frequency and strengthening health education content can be implemented for some patients without comorbidities and those who have not received radiation therapy,and to improve treatment compliance.

Lung cancer poses a serious threat to global public health security.Chemotherapy,as the main strategy for cancer treatment,faces challenges such as high toxicity and drug resistance.Anticancer peptides have the potential of being developed into new anticancer drugs due to their advantages of broad-spectrum anticancer activity,rapid action,and difficulty in generating drug resistance,but they also face shortcomings such as weak activity and strong toxic side effects.The weakly acidic microenvironment of tumors(pH 6.5-6.8)provides a good idea for the design of anticancer peptides of high-efficiency and low-toxicity.Previously,we designed the acid-sensitive antibacterial peptide pHly-1 using the wolf spider(Lycosa singoriensis)toxin Lycosin-Ⅰ as a template.In this study,we found that pHly-1 also had acid-sensitive anticancer activity.Further alanine scanning analysis of pHly-1 was carried out,and we ob-tained a mutant pHTP-2 with better acid sensitivity,whose IC50(half maximal inhibitory concentration)against A549 cells was 15.68 μmol/L at pH 6.6 and was greater than 100 μmol/L at pH 7.4.At pH 6.6,pHTP-2 could act on various lung cancer cell lines and induce the death of A549 cells by rapid ly-sis;at pH 7.4,500 μmol/L pHTP-2 had weak toxicity to red blood cells(the hemolysis rate was ap-proximately 38％)and primary myocardial cells(the inhibition rate was 49.7％,with P＜0.05).Analy-sis of its charge,particle size,morphology,and secondary structure showed that at pH 6.6,the histidine in the sequence of pHTP-2 was protonated,increasing the positive charge(P＜0.01),decreasing the hy-drated particle size(P＜0.05)and forming an α-helical structure to induce membrane lysis of A549 cells.At pH 7.4,it was deprotonated,the positive charge decreases,a β-sheet structure was formed and self-aggregation occurred,limiting its effect on the A549 cell membrane and showing weak activity.In summary,pHTP-2 could respond to the weakly acidic microenvironment of tumors to exert selective cyto-toxic activity,effectively overcoming the shortcomings of anticancer peptides such as low efficiency and high toxicity.Our findings suggest that it is a high-quality lead molecule for anticancer drugs.

Objective To investigate the compliance of hormone receptor-positive breast cancer patients with prolonged endocrine therapy and analyze its influencing factors.Methods This study was a retrospective cohort study.A total of 347 patients with breast cancer who received prolonged endocrine therapy in our hospital from June 2017 to March 2023 were selected.Relevant data of the patients were collected and they were divided into two groups according to whether they adhered to prolonged endocrine therapy:the compliance group and the non-compliance group.Using the x2 test to analyze the impact of patients'disease-related data on prolonging compliance with endocrine therapy.Use Logistic regression to analyze its influencing factors.Results Among 347 breast cancer patients who received extended endocrine therapy,during the median follow-up of 28 months(ranging from 12 to 60 months),319 patients(91.9％)adhered to extended endocrine therapy(compliance group),and their treatment compliance was acceptable.Twenty-eight cases(8.1％)of patients did not adhere to prolonged endocrine therapy(non-compliance group).Multivariate analysis showed that the independent factors Influencing the compliance of breast cancer patients with prolonged endocrine therapy were comorbidities and radiotherapy(P＜0.05).Conclusion Based on the characteristics of influencing factors,behavioral interventions such as increasing follow-up frequency and strengthening health education content can be implemented for some patients without comorbidities and those who have not received radiation therapy,and to improve treatment compliance.

Objective To explore the feasibility of radiomics features combined with different machine learning methods based on CT scans to predict lymphovascular and perineural invasion in patient with gastric cancer.Methods A total of 142 patients with gas-tric cancer lymphovascular confirmed by operative pathological examination were retrospectively selected.Among all patients,there were 96 positive cases and 46 negative cases.Among 137 patients with perineural invasion,there were 76 positive cases and 61 nega-tive cases.The 3D-Slicer package was used for delineation,and the Pyradiomics package was used to extract radiomics features.All data were randomly divided into training set and test set in an 8∶2 ratio.Intraclass correlation coefficient(ICC),Pearson correla-tion analysis,least absolute shrinkage and selection operator(LASSO)algorithm were used for feature selection.Support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT),random forest(RF),extreme tree(ET),extreme gradient boosting(XGBoost),and LightGBM were used to compare the models of lymphovascular and perineural invasion,respectively.Receiver operating characteris-tic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive performance of these models.Results The lymphovascular group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.926,0.753,1.000,0.999,1.000,1.000,and 0.917,and the AUC in the test set were 0.894,0.692,0.456,0.678,0.753,0.650,and 0.650,respectively.The perineural invasion group AUC of SVM,KNN,DT,RF,ET,XGBoost,and LightGBM in the training set were 0.864,0.794,1.000,1.000,1.000,1.000,and 0.866,and the AUC in the test set were 0.861,0.706,0.700,0.672,0.731,0.667,and 0.678,respectively.Conclusion Based on venous phase CT radiomics features combined with machine learning methods,it is feasible to predict lymphovascu-lar and perineural invasion of gastric cancer preoperatively.Among the variousmachine learning methods,SVM shows the best predictive performance for lymphovascular and perineural invasion in patient with gastric cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant solid tumor of the digestive system, characterized by rapid progression and difficulties of early diagnosis. Five-year survival rate of the patients is less than 9%. With the acceleration of global population aging and lifestyle change, the incidence of PDAC has been increasing annually. Currently, surgical treatment and chemotherapy remain the standard treatment options for PDAC patients. Early symptoms of PDAC are so undetectable that most patients miss the optimal opportunity for radical surgical resection. Even among those who undergo surgery, the high recurrence rate remains a major problem. PDAC is known for its unique tumor microenvironment. The cellular and non-cellular components in the tumor microenvironment account for as much as 90% of the tumor stroma, presenting many potential targets for PDAC therapy. Activated pancreatic stellate cells within PDAC tissue express specific proteins and secrete various cytokines and metabolites, which directly contribute to the proliferation, invasion, and metastasis of PDAC cells. These elements are critical in extracellular matrix production, connective tissue hyperplasia, immune tolerance, and drug resistance. Immune cells, such as macrophages and neutrophils, exert immunosuppressive and tumor-promoting roles in PDAC progression. The extracellular matrix, which serve as a natural physical barrier, induces interstitial hypertension and reduces blood supply, thereby hindering the delivery of drugs to the tumor. Additionally, it helps the metastasis and differentiation of PDAC cells, reducing the efficacy of clinical chemotherapy and immunotherapy. Although chemotherapeutic agents like gemcitabine have been used in the clinical treatment of PDAC for more than 20 years, the curative effect is obstructed by their poor stability in the bloodstream, low cellular uptake, and poor targeting. While small-molecule inhibitors targeting mutations such as KRAS^G12C, BRCA, and NTRK fusion have shown great potential for molecular targeted treatments and gene therapies of PDAC, their broader application is limited by side effects and restricted scope of patients. The advancement of nanotechnology brings new strategies for PDAC treatment. By virtue of unique size characteristics and actual versatility, different drug-delivery nanosystems contribute to overcome the dense stromal barrier, prolong the circulation time of therapeutics and realize precise PDAC treatment by targeted drug delivery. Clinical nanodrugs such as albumin-bound paclitaxel (nab-paclitaxel) and irinotecan liposome greatly improve the pharmacokinetics of conventional chemotherapeutics and promote drug accumulation inside the tumor, thereby are applying to the first-line treatment of PDAC. It is noteworthy that none nanodrugs with active targeting design have been approved for clinical treatment yet, though many are in clinical trials. In this review, we discuss promising targeting strategies based on different nanodrug delivery systems for treatment of PDAC. One major nanostrategy focuses on the tumor cell targeting and its applications in chemotherapy, molecular targeting therapy, gene therapy, and immunotherapy of PDAC. Another nanostrategy targets the tumor microenvironment, which highlights the nanosystems specifically regulating pancreatic stellate cells, immune cells and the extracellular matrix. Recent progress of developing new nanotheraputics for breakthrough in the fight of PDAC are elaborated in this review. We also provide our perspectives on the challenges and opportunities in the field.