Role of cancer stem cell ecosystem on breast cancer metastasis and related mouse models

Breast cancer metastasis is responsible for most breast cancer-related deaths and is influenced by many factors within the tumor ecosystem,including tumor cells and microenvironment.Breast cancer stem cells(BCSCs)constitute a small population of cancer cells with unique characteristics,including their capacity for self-renewal and differentiation.Studies have shown that BCSCs not only drive tumorigenesis but also play a crucial role in promoting metastasis in breast cancer.The tumor microenvironment(TME),composed of stromal cells,immune cells,blood vessel cells,fibroblasts,and microbes in proximity to cancer cells,is increasingly recognized for its crosstalk with BCSCs and role in BCSC survival,growth,and dissemination,thereby influencing metastatic ability.Hence,a thorough understanding of BCSCs and the TME is critical for unraveling the mechanisms underlying breast cancer metastasis.In this review,we summarize current knowledge on the roles of BCSCs and the TME in breast cancer metastasis,as well as the underlying regulatory mechanisms.Furthermore,we provide an overview of relevant mouse models used to study breast cancer metastasis,as well as treatment strategies and clinical trials addressing BCSC-TME interactions during metastasis.Overall,this study provides valuable insights for the development of effective therapeutic strategies to reduce breast cancer metastasis.

Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study

BACKGROUND Gastric cancer is one of the most common malignant tumors in the digestive system,ranking sixth in incidence and fourth in mortality worldwide.Since 42.5%of metastatic lymph nodes in gastric cancer belong to nodule type and peripheral type,the application of imaging diagnosis is restricted.AIM To establish models for predicting the risk of lymph node metastasis in gastric cancer patients using machine learning(ML)algorithms and to evaluate their pre-dictive performance in clinical practice.METHODS Data of a total of 369 patients who underwent radical gastrectomy at the Depart-ment of General Surgery of Affiliated Hospital of Xuzhou Medical University(Xuzhou,China)from March 2016 to November 2019 were collected and retro-spectively analyzed as the training group.In addition,data of 123 patients who underwent radical gastrectomy at the Department of General Surgery of Jining First People’s Hospital(Jining,China)were collected and analyzed as the verifi-cation group.Seven ML models,including decision tree,random forest,support vector machine(SVM),gradient boosting machine,naive Bayes,neural network,and logistic regression,were developed to evaluate the occurrence of lymph node metastasis in patients with gastric cancer.The ML models were established fo-llowing ten cross-validation iterations using the training dataset,and subsequently,each model was assessed using the test dataset.The models’performance was evaluated by comparing the area under the receiver operating characteristic curve of each model.RESULTS Among the seven ML models,except for SVM,the other ones exhibited higher accuracy and reliability,and the influences of various risk factors on the models are intuitive.CONCLUSION The ML models developed exhibit strong predictive capabilities for lymph node metastasis in gastric cancer,which can aid in personalized clinical diagnosis and treatment.

Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer

BACKGROUND Synchronous liver metastasis(SLM)is a significant contributor to morbidity in colorectal cancer(CRC).There are no effective predictive device integration algorithms to predict adverse SLM events during the diagnosis of CRC.AIM To explore the risk factors for SLM in CRC and construct a visual prediction model based on gray-level co-occurrence matrix(GLCM)features collected from magnetic resonance imaging(MRI).METHODS Our study retrospectively enrolled 392 patients with CRC from Yichang Central People’s Hospital from January 2015 to May 2023.Patients were randomly divided into a training and validation group(3:7).The clinical parameters and GLCM features extracted from MRI were included as candidate variables.The prediction model was constructed using a generalized linear regression model,random forest model(RFM),and artificial neural network model.Receiver operating characteristic curves and decision curves were used to evaluate the prediction model.RESULTS Among the 392 patients,48 had SLM(12.24%).We obtained fourteen GLCM imaging data for variable screening of SLM prediction models.Inverse difference,mean sum,sum entropy,sum variance,sum of squares,energy,and difference variance were listed as candidate variables,and the prediction efficiency(area under the curve)of the subsequent RFM in the training set and internal validation set was 0.917[95%confidence interval(95%CI):0.866-0.968]and 0.09(95%CI:0.858-0.960),respectively.CONCLUSION A predictive model combining GLCM image features with machine learning can predict SLM in CRC.This model can assist clinicians in making timely and personalized clinical decisions.

Prognostic value of a nomogram model for postoperative liver metastasis of colon cancer

BACKGROUND Colon cancer is one of the most common malignant tumors of the digestive system.Liver metastasis after colon cancer surgery is the primary cause of death in patients with colon cancer.AIM To construct a novel nomogram model including various factors to predict liver metastasis after colon cancer surgery.METHODS We retrospectively analyzed 242 patients with colon cancer who were admitted and underwent radical resection for colon cancer in Zhejiang Provincial People’s Hospital from December 2019 to December 2022.Patients were divided into liver metastasis and non-liver metastasis groups.Sex,age,and other general and clinicopathological data(preoperative blood routine and biochemical test indexes)were compared.The risk factors for liver metastasis were analyzed using singlefactor and multifactorial logistic regression.A predictive model was then constructed and evaluated for efficacy.RESULTS Systemic inflammatory index(SII),C-reactive protein/albumin ratio(CAR),red blood cell distribution width(RDW),alanine aminotransferase,preoperative carcinoembryonic antigen level,and lymphatic metastasis were different between groups(P<0.05).SII,CAR,and RDW were risk factors for liver metastasis after colon cancer surgery(P<0.05).The area under the curve was 0.93 for the column-line diagram prediction model constructed based on these risk factors to distinguish whether liver metastasis occurred postoperatively.The actual curve of the column-line diagram predicting the risk of postoperative liver metastasis was close to the ideal curve,with good agreement.The prediction model curves in the decision curve analysis showed higher net benefits for a larger threshold range than those in extreme cases,indicating that the model is safer.CONCLUSION Liver metastases after colorectal cancer surgery could be well predicted by a nomogram based on the SII,CAR,and RDW.

Application Effect of External Diaphragm Pacemaker Combined with Active Respiratory Circulation Technology in Pulmonary Rehabilitation of Perioperative Lung Cancer Patients

Aim: To explore the application effect of external diaphragm pacemaker combined with active respiratory circulation technology in pulmonary rehabilitation of perioperative lung cancer patients. Methods: A total of 98 lung cancer patients admitted to our hospital from April 2020 to November 2021 were selected as the observation objects, and then divided into a control group and an observation group using the random number table method, with 49 cases in each group. The control group received routine admission guidance and active respiratory circulation training, while the observation group was supplemented with external diaphragm pacemaker on the basis of the control group. The intervention effect was evaluated by blood gas indicators, pulmonary function indicators, diaphragm function indicators, sputum comfort degree, and activity tolerance indicators before and after intervention. Results: Before intervention, there were no significant differences in blood gas analysis indicators, pulmonary function indicators, diaphragm function indicators, sputum comfort degree, and activity tolerance indicators between the two groups (P > 0.05). After intervention, the improvement degree of the above indicators in the observation group was higher than that in the control group (P < 0.05). Conclusions: The application of external diaphragm pacemaker combined with active respiratory circulation technology in pulmonary rehabilitation of perioperative lung cancer patients is significant, which can effectively improve the pulmonary function, blood gas function, and diaphragm function of lung cancer patients after surgery, and improve the activities of daily living and quality of life of patients.

Effect of perioperative chemotherapy on resection of isolated pulmonary metastases from colorectal cancer:A single center experience

BACKGROUND Numerous studies have assessed surgical resection as a standard treatment option for patients with colorectal cancer(CRC)and resectable pulmonary metastases(PM).However,the role of perioperative chemotherapy after complete resection of isolated PM from patients with CRC patients remains controversial.We hypothesize that perioperative chemotherapy does not provide significant survival benefits for patients undergoing resection of PM from CRC.AIM To determine whether perioperative chemotherapy affects survival after radical resection of isolated PM from CRC.METHODS We retrospectively collected demographic,clinical,and pathologic data on patients who underwent radical surgery for isolated PM from CRC.Cancerspecific survival(CSS)and disease-free survival were calculated using Kaplan-Meier analysis.Inter-group differences were compared using the log-rank test.For multivariate analysis,Cox regression was utilized when indicated.RESULTS This study included 120 patients with a median age of 61.6 years.The 5-year CSS rate was 78.2%,with 36.7% experiencing recurrence.Surgical resection for isolated PM resulted in a 5-year CSS rate of 50.0% for second metastases.Perioperative chemotherapy(P=0.079)did not enhance survival post-resection.Factors associated with improved survival included fewer metastatic lesions[hazard ratio(HR):2.51,P=0.045],longer disease-free intervals(HR:0.35,P=0.016),and wedge lung resections(HR:0.42,P=0.035).Multiple PM predicted higher recurrence risk(HR:2.22,P=0.022).The log-rank test showed no significant difference in CSS between single and repeated metastasectomy(P=0.92).CONCLUSION Perioperative chemotherapy shows no survival benefit post-PM resection in CRC.Disease-free intervals and fewer metastatic lesions predict better survival.Repeated metastasectomy is warranted for eligible patients.

Effect of nursing on postoperative respiratory function and mental health of lung cancer patients

BACKGROUND Both pulmonary rehabilitation training and psychological care have been shown to have a positive effect on the postoperative recovery of patients with lung cancer.However,few studies have combined the two to explore their combined effect.Therefore,this study aimed to investigate the effects of pulmonary rehabil-itation training combined with psychological care on postoperative respiratory function and mental health in lung cancer patients.AIM To investigate effect of nursing on postoperative respiratory function and mental health of lung cancer patients.METHODS 122 cases of lung cancer patients who underwent surgical treatment in our hospital and were treated in our department from January 2022 to April 2023 were selected and randomly divided into the control group and observation group.The control group performed the routine care intervention.The obser-vation group was given pulmonary rehabilitation training and psychological care based on conventional nursing interventions.Forced expiratory volume,forced vital capacity.Maximum ventilatory volume(MVV)in one second was measured,and the patient's 6-min walking distance and dyspnoea index scale were used to assess the patient's respiratory condition.The Connor-Davidson resilience scale(CD-RISC),self-rating anxiety scale(SAS),and self-rating depression scale(SDS)were used to evaluate the mental health of the patients.RESULTS There was no difference between the two groups regarding age,gender,education level,surgical procedure,type of pathology,and treatment(P>0.05).After treatment,MVV,6-min walking distance,toughness,strength,optimism,and total CD-RISC scores were significantly higher in the observation group(P<0.05),dyspnoea scores,SAS,and SDS scores were substantially lower in the control group compared to the observation group(P<0.05).CONCLUSION Pulmonary rehabilitation training combined with psychological care for patients after lung cancer resection could improve lung function,enhance daily activities,effectively relieve negative emotions such as anxiety and depression,and reduce complications.

Prediction and analysis of albumin-bilirubin score combined with liver function index and carcinoembryonic antigen on liver metastasis of colorectal cancer

BACKGROUND Colorectal cancer(CRC)is a common malignant tumor,and liver metastasis is one of the main recurrence and metastasis modes that seriously affect patients’survival rate and quality of life.Indicators such as albumin bilirubin(ALBI)score,liver function index,and carcinoembryonic antigen(CEA)have shown some potential in the prediction of liver metastasis but have not been fully explored.AIM To evaluate its predictive value for liver metastasis of CRC by conducting the combined analysis of ALBI,liver function index,and CEA,and to provide a more accurate liver metastasis risk assessment tool for clinical treatment guidance.METHODS This study retrospectively analyzed the clinical data of patients with CRC who received surgical treatment in our hospital from January 2018 to July 2023 and were followed up for 24 months.According to the follow-up results,the enrolled patients were divided into a liver metastasis group and a nonliver metastasis group and randomly divided into a modeling group and a verification group at a ratio of 2:1.The risk factors for liver metastasis in patients with CRC were analyzed,a prediction model was constructed by least absolute shrinkage and selection operator(LASSO)logistic regression,internal validation was performed by the bootstrap method,the reliability of the prediction model was evaluated by subject-work characteristic curves,calibration curves,and clinical decision curves,and a column graph was drawn to show the prediction results.RESULTS Of 130 patients were enrolled in the modeling group and 65 patients were enrolled in the verification group out of the 195 patients with CRC who fulfilled the inclusion and exclusion criteria.Through LASSO regression variable screening and logistic regression analysis.The ALBI score,alanine aminotransferase(ALT),and CEA were found to be independent predictors of liver metastases in CRC patients[odds ratio(OR)=8.062,95%confidence interval(CI):2.545-25.540],(OR=1.037,95%CI:1.004-1.071)and(OR=1.025,95%CI:1.008-1.043).The area under the receiver operating characteristic curve(AUC)for the combined prediction of CRLM in the modeling group was 0.921,with a sensitivity of 78.0%and a specificity of 95.0%.The H-index was 0.921,and the H-L fit curve hadχ^(2)=0.851,a P value of 0.654,and a slope of the calibration curve approaching 1.This indicates that the model is extremely accurate,and the clinical decision curve demonstrates that it can be applied effectively in the real world.We conducted internal verification of one thousand resamplings of the modeling group data using the bootstrap method.The AUC was 0.913,while the accuracy was 0.869 and the kappa consistency was 0.709.The combination prediction of liver metastasis in patients with CRC in the verification group had an AUC of 0.918,sensitivity of 85.0%,specificity of 95.6%,C-index of 0.918,and an H-L fitting curve withχ^(2)=0.586,P=0.746.CONCLUSION The ALBI score,ALT level,and CEA level have a certain value in predicting liver metastasis in patients with CRC.These three criteria exhibit a high level of efficacy in forecasting liver metastases in patients diagnosed with CRC.The risk prediction model developed in this work shows great potential for practical application.

Influence of initial check, information exchange, final accuracy check, reaction information nursing on the psychology of elderly with lung cancer

BACKGROUND As one of the fatal diseases with high incidence,lung cancer has seriously endangered public health and safety.Elderly patients usually have poor self-care and are more likely to show a series of psychological problems.AIM To investigate the effectiveness of the initial check,information exchange,final accuracy check,reaction(IIFAR)information care model on the mental health status of elderly patients with lung cancer.METHODS This study is a single-centre study.We randomly recruited 60 elderly patients with lung cancer who attended our hospital from January 2021 to January 2022.These elderly patients with lung cancer were randomly divided into two groups,with the control group taking the conventional propaganda and education and the observation group taking the IIFAR information care model based on the conventional care protocol.The differences in psychological distress,anxiety and depression,life quality,fatigue,and the locus of control in psychology were compared between these two groups,and the causes of psychological distress were analyzed.RESULTS After the intervention,Distress Thermometer,Hospital Anxiety and Depression Scale(HADS)for anxiety and the HADS for depression,Revised Piper’s Fatigue Scale,and Chance Health Locus of Control scores were lower in the observation group compared to the pre-intervention period in the same group and were significantly lower in the observation group compared to those of the control group(P<0.05).After the intervention,Quality of Life Questionnaire Core 30(QLQ-C30),Internal Health Locus of Control,and Powerful Others Health Locus of Control scores were significantly higher in the observation and the control groups compared to the pre-intervention period in their same group,and QLQ-C30 scores were significantly higher in the observation group compared to those of the control group(P<0.05).CONCLUSION The IIFAR information care model can help elderly patients with lung cancer by reducing their anxiety and depression,psychological distress,and fatigue,improving their tendencies on the locus of control in psychology,and enhancing their life qualities.

Effect of continuous nursing combined with respiratory exercise nursing on pulmonary function of postoperative patients with lung cancer

BACKGROUND Lung cancer is a malignant tumor with high morbidity and mortality among cancers.Surgery is currently one of the primary methods of treating lung cancer.Although it can slow down the progression of the disease by removing the lesion,this invasive surgery inevitably damages the integrity of the patient’s chest.Moreover,the patient’s pulmonary function may have a low compensatory capacity after surgery,causing various respiratory diseases such as atelectasis,respiratory function decline,and even serious cardiovascular disease.All of these have great negative impacts on the surgical effect and the prognosis of patients.With the continuous exploration and development of nursing,continuous nursing and respiratory exercise nursing have been gradually applied in the nursing of patients after lung cancer surgery,and have achieved good nursing results.AIM To investigate the effect of continuous nursing combined with respiratory exercise nursing on the pulmonary function of postoperative patients with lung cancer.METHODS A total of 80 patients with lung cancer who underwent surgery in our hospital from January 2021 to December 2021 were selected as the study subjects.All subjects were randomly divided into the control group(n=40 cases)and the experimental group(n=40 cases).Patients with lung cancer in the control group were given conventional nursing after surgery,while the experimental group was given continuous nursing combined with respiratory exercise nursing based on conventional nursing.The recovery of pulmonary function and respiratory symptoms was observed before and after 3 mo of intervention in both groups.The pulmonary function parameters,blood gas analysis,MD Anderson Symptom Inventory-lung cancer module(MDASI-LC)scores,incidence of pulmonary complications,and Morisky compliance scores were compared between the two groups before and after 3 mo of intervention.RESULTS There was no significant difference in pulmonary function and blood gas analysis between the two groups before intervention(P>0.05).3 mo after the intervention,the pulmonary function parameters in the experimental group(SpO2,VC,MVV,FEV1,FEV1%pred,and FEV1/FVC)were higher than those in the control group,and the differences were statistically significant(P<0.05).There was no significant difference in blood gas analysis between the two groups before intervention(P>0.05).PaO2 in the experimental group was significantly higher than that in the control group,and PaCO_(2) was significantly lower than that in the control group 3 mo after the intervention.The difference had statistical significance(P<0.05).3 mo after the intervention,the MDASI score of respiratory symptoms in the experimental group was significantly lower than that in the control group(P<0.05),and the incidence of pulmonary complications was lower than that in the control group(P<0.05).In addition,the treatment compliance and nursing satisfaction of patients in the experimental group were higher than those in the control group,and the differences were statistically significant(P<0.05).CONCLUSION Continuous nursing combined with respiratory exercise nursing can significantly accelerate the recovery of respiratory function in postoperative lung cancer patients,reduce the incidence of postoperative complications of lung cancer as well as improve the treatment compliance of patients.

Successful resection of colonic metastasis of lung cancer after colonic stent placement:A case report and review of the literature

BACKGROUND Lung cancer is the leading cause of cancer deaths worldwide.Although lung cancer can metastasize to various organs such as the liver,lymph nodes,adrenal gland,bone,and brain,metastases to the digestive organs,especially the colon,are rare.CASE SUMMARY An 83-year-old man diagnosed with lung cancer received radiation and chemoimmunotherapy,resulting in a complete clinical response.One year after the initial lung cancer diagnosis,the patient presented with obstructive ileus caused by a tumor in the descending colon.An elective left hemicolectomy was successfully performed after the endoscopic placement of a self-expandable metallic stent(SEMS).Pathologically,the tumor of the descending colon was diagnosed as lung cancer metastasis.The postoperative course was uneventful,and the patient is in good condition 13 mo after surgery,with no signs of recurrence.The previous 23 cases of surgical resection of colonic metastasis from lung cancer were reviewed using PubMed to characterize their clinicopathological features and outcomes.CONCLUSION SEMS is useful for obstructive colonic metastasis as a bridge to surgery to avoid emergency operations.

Predicting lymph node metastasis in colorectal cancer:An analysis of influencing factors to develop a risk model

BACKGROUND Colorectal cancer(CRC)is a significant global health issue,and lymph node metastasis(LNM)is a crucial prognostic factor.Accurate prediction of LNM is essential for developing individualized treatment strategies for patients with CRC.However,the prediction of LNM is challenging and depends on various factors such as tumor histology,clinicopathological features,and molecular characteristics.The most reliable method to detect LNM is the histopathological examination of surgically resected specimens;however,this method is invasive,time-consuming,and subject to sampling errors and interobserver variability.AIM To analyze influencing factors and develop and validate a risk prediction model for LNM in CRC based on a large patient queue.METHODS This study retrospectively analyzed 300 patients who underwent CRC surgery at two Peking University Shenzhen hospitals between January and December 2021.A deep learning approach was used to extract features potentially associated with LNM from primary tumor histological images while a logistic regression model was employed to predict LNM in CRC using machine-learning-derived features and clinicopathological variables as predictors.RESULTS The prediction model constructed for LNM in CRC was based on a logistic regression framework that incorporated machine learning-extracted features and clinicopathological variables.The model achieved high accuracy(0.86),sensitivity(0.81),specificity(0.87),positive predictive value(0.66),negative predictive value(0.94),area under the curve for the receiver operating characteristic(0.91),and a low Brier score(0.10).The model showed good agreement between the observed and predicted probabilities of LNM across a range of risk thresholds,indicating good calibration and clinical utility.CONCLUSION The present study successfully developed and validated a potent and effective risk-prediction model for LNM in patients with CRC.This model utilizes machine-learning-derived features extracted from primary tumor histology and clinicopathological variables,demonstrating superior performance and clinical applicability compared to existing models.The study provides new insights into the potential of deep learning to extract valuable information from tumor histology,in turn,improving the prediction of LNM in CRC and facilitate risk stratification and decision-making in clinical practice.

What should be the future direction of development in the field of prostate cancer with lung metastasis?

BACKGROUND Since the start of the 21st century,prostate cancer with lung metastasis(PCLM)has accumulated significant scientific research output.However,a systematic knowledge framework for PCLM is still lacking.AIM To reconstruct the global knowledge system in the field of PCLM,sort out hot research directions,and provide reference for the clinical and mechanism research of PCLM.METHODS We retrieved 280 high-quality papers from the Web of Science Core Collection and conducted a bibliometric analysis of keywords,publication volume,and citation frequency.Additionally,we selected differentially expressed genes from global high-throughput datasets and performed enrichment analysis and proteinprotein interaction analysis to further summarize and explore the mechanisms of PCLM.RESULTS PCLM has received extensive attention over the past 22 years,but there is an uneven spatial distribution in PCLM research.In the clinical aspect,the treatment of PCLM is mainly based on chemotherapy and immunotherapy,while diagnosis relies on methods such as prostate-specific membrane antigen positron emission tomography/computed tomography.In the basic research aspect,the focus is on cell adhesion molecules and signal transducer and activator of transcription 3,among others.Traditional treatments,such as chemotherapy,remain the mainstay of PCLM treatment,while novel approaches such as immunotherapy have limited effectiveness in PCLM.This study reveals for the first time that pathways related to coronavirus disease 2019,cytokinecytokine receptor interaction,and ribosome are closely associated with PCLM.CONCLUSION Future research should focus on exploring and enhancing mechanisms such as cytokine-cytokine receptor interaction and ribosome and improve existing mechanisms like cadherin binding and cell adhesion molecules.

Analysis of factors related to postoperative pulmonary infection in lung cancer patients after recovery from COVID-19

Objective:To explore factors related to postoperative pulmonary infection in lung cancer patients after recovery from COVID-19 and to provide methods for preventing and reducing the incidence of postoperative lung infection in patients with lung cancer.Methods:A total of 92 patients who underwent lung cancer surgery in the Department of Thoracic and Cardiac Surgery of Yichang Central People’s Hospital from January 28,2023,to March 3,2023,were selected.They were divided into a pulmonary infection group(47 cases)and a nonpulmonary infection group(45 cases)according to whether pulmonary infection occurred.General clinical data of patients were collected and collated to analyse the related influencing factors of pulmonary infection in lung cancer patients after recovery from COVID-19.Results:Univariate analysis showed that patient age(≥60 years),fever after COVID-19 infection,oral and laryngeal symptoms,digestive tract symptoms,neurological symptoms,long-term smoking history,hypertension history,and operation time(≥3 h)were correlated with pulmonary infection(all P<0.05).There was no significant correlation between postoperative pulmonary infection and sex,ocular,nasal and tongue symptoms,systemic symptoms,duration of COVID-19,COPD,lobectomy site,incision pain,mechanical ventilation time(≥6 h),drainage tube retention time(3 d),surgical method(P>0.05).Logistic multivariate analysis showed that age(≥60 years old),long operation time(≥3 h)and long-term smoking history were independent influencing factors for postoperative pulmonary infection in patients with radical resection of lung cancer(P>0.05).Conclusion:In this study,older age(≥60 years old),long-term smoking history,and long operation time(≥3 h)were risk factors for pulmonary infection after lung cancer surgery.In the future,active treatment measures can be taken to address these risk factors during the perioperative period to reduce the incidence of postoperative pulmonary infection.

Gastric metastasis of small cell lung carcinoma:Three case reports and review of literature

BACKGROUND Small cell lung carcinoma(SCLC)is highly susceptible to metastasis in the early stages of the disease.However,the stomach is an uncommon site of metastasis in SCLC,and only a few cases of this type of metastasis have been reported.Therefore,SCLC gastric metastases have not been systematically characterized and are easily missed and misdiagnosed.CASE SUMMARY We report three cases of gastric metastasis from SCLC in this article.The first patient presented primarily with cough,hemoptysis,and epigastric fullness.The other two patients presented primarily with abdominal discomfort,epigastric distension,and pain.All patients underwent gastroscopy and imaging examinations.Meanwhile,the immunohistochemical results of the lesions in three patients were suggestive of small cell carcinoma.Finally,the three patients were diagnosed with gastric metastasis of SCLC through a comprehensive analysis.The three patients did not receive appropriate treatment and died within a short time.CONCLUSION Here,we focused on summarizing the characteristics of gastric metastasis of SCLC to enhance clinicians'understanding of this disease.

Assessing the Effectiveness of Montelukast Sodium in Managing Pulmonary Infections in Lung Cancer Patients

Objective:To investigate the efficacy of montelukast sodium in the treatment of lung cancer patients with pulmonary infections.Methods:A total of 330 patients diagnosed with lung cancer and pulmonary infection,who were admitted to the First Affiliated Hospital of Xi’an Medical University from 2020 to 2022,were selected as research subjects.They were randomly divided into two groups:a control group receiving conventional treatment and an observation group receiving conventional treatment combined with montelukast sodium.Each group consisted of 165 cases.The time required for clinical symptom improvement,the resolution of lung infection signs,and the levels of serum inflammatory factors before and after treatment were compared between the two groups.Results:The observation group exhibited significantly faster improvement in clinical symptoms compared to the control group(P<0.001).ELISA assays were conducted to detect the expression levels of IL-1β,IL-6,IL-8,and TNF-αin the serum of both groups at 1 week and 2 weeks into the treatment.The results indicated that,as the treatment progressed,the observation group displayed significantly lower levels of the four serum inflammatory factors compared to the control group(P<0.001).Conclusion:Montelukast sodium demonstrates efficacy in the treatment of patients with lung cancer complicated by pulmonary infections.These findings suggest its potential for further verification and clinical application.

Observation on the Effect of Integrated Medical and Nursing Care in Patients with Pulmonary Tuberculosis Combined with Lung Cancer

Objective:To explore the effect of integrated medical and nursing care in patients with pulmonary tuberculosis combined with lung cancer.Methods:From August 2021 to August 2022,60 patients with pulmonary tuberculosis combined with lung cancer were admitted.All patients were diagnosed with pulmonary tuberculosis according to the Guidelines for the Diagnosis and Treatment of Pulmonary Tuberculosis and with lung cancer by pathology.The patients were randomly divided into two groups,with 30 cases in each group.The control group received daily nursing care,whereas the study group received integrated medical and nursing care.The sputum conversion rate,tumor remission rate,and quality of life of patients were observed and analyzed.Results:The item function score and symptom function score of the observation group were higher than those of the control group(P<0.05);the total effective rate of the observation group was significantly higher than that of the control group(P<0.05);the sputum conversion rate of the observation group was significantly higher than that of the control group(P<0.05).Conclusion:For patients with pulmonary tuberculosis combined with lung cancer,the application of integrated medical and nursing care can help consolidate the treatment effect and improve the quality of life of patients;thus,it is worthy of promotion and application.

Parotid metastasis of rare lung adenocarcinoma:A case report

BACKGROUND Lung cancer(LC)is the leading cause of malignancy-related deaths worldwide.The most common sites of metastasis include the nervous system,bone,liver,respiratory system,and adrenal glands.LC metastasis in the parotid gland is very rare,and its diagnosis presents a challenge.Here,we report a case of parotid metastasis in primary LC.CASE SUMMARY The patient was a 74-year-old male who was discovered to have bilateral facial asymmetry inadvertently two years ago.The right earlobe was slightly swollen and without pain or numbness.Computed tomography(CT)examination showed bilateral lung space-occupying lesions.Pulmonary biopsy was performed and revealed adenocarcinoma(right-upper-lung nodule tissue).Positron emission tomography-CT examination showed:(1)Two hypermetabolic nodules in the right upper lobe of the lung,enlarged hy-permetabolic lymph nodes in the right hilar and mediastinum,and malignant space-occupying lesion in the right upper lobe of the lung and possible metastasis to the right hilar and mediastinal lymph nodes;and(2)multiple hypermetabolic nodules in bilateral parotid glands.Parotid puncture biopsy was performed considering lung adenocarcinoma metastasis.Gene detection of lung biopsy specimens revealed an EGFR gene 21 exon L858R mutation.CONCLUSION This case report highlights the challenging diagnosis of parotid metastasis in LC given its rare nature.Such lesions should be differentiated from primary tumors of the parotid gland.Simple radiological imaging is unreliable,and puncture biopsy is needed for final diagnosis of this condition.

Risk stratification in gastric cancer lung metastasis: Utilizing an overall survival nomogram and comparing it with previous staging

BACKGROUND Gastric cancer(GC)is prevalent and aggressive,especially when patients have distant lung metastases,which often places patients into advanced stages.By identifying prognostic variables for lung metastasis in GC patients,it may be po-ssible to construct a good prediction model for both overall survival(OS)and the cumulative incidence prediction(CIP)plot of the tumour.AIM To investigate the predictors of GC with lung metastasis(GCLM)to produce nomograms for OS and generate CIP by using cancer-specific survival(CSS)data.METHODS Data from January 2000 to December 2020 involving 1652 patients with GCLM were obtained from the Surveillance,epidemiology,and end results program database.The major observational endpoint was OS;hence,patients were se-parated into training and validation groups.Correlation analysis determined va-rious connections.Univariate and multivariate Cox analyses validated the independent predictive factors.Nomogram distinction and calibration were performed with the time-dependent area under the curve(AUC)and calibration curves.To evaluate the accuracy and clinical usefulness of the nomograms,decision curve analysis(DCA)was performed.The clinical utility of the novel prognostic model was compared to that of the 7th edition of the American Joint Committee on Cancer(AJCC)staging system by utilizing Net Reclassification Improvement(NRI)and Integrated Discrimination Improvement(IDI).Finally,the OS prognostic model and Cox-AJCC risk stratification model modified for the AJCC system were compared.RESULTS For the purpose of creating the OS nomogram,a CIP plot based on CSS was generated.Cox multivariate regression analysis identified eleven significant prognostic factors(P<0.05)related to liver metastasis,bone metastasis,primary site,surgery,regional surgery,treatment sequence,chemotherapy,radiotherapy,positive lymph node count,N staging,and time from diagnosis to treatment.It was clear from the DCA(net benefit>0),time-de-pendent ROC curve(training/validation set AUC>0.7),and calibration curve(reliability slope closer to 45 degrees)results that the OS nomogram demonstrated a high level of predictive efficiency.The OS prediction model(New Model AUC=0.83)also performed much better than the old Cox-AJCC model(AUC difference between the new model and the old model greater than 0)in terms of risk stratification(P<0.0001)and verification using the IDI and NRI.CONCLUSION The OS nomogram for GCLM successfully predicts 1-and 3-year OS.Moreover,this approach can help to ap-propriately classify patients into high-risk and low-risk groups,thereby guiding treatment.

Summary of the Best Evidence for Preoperative Pre-Rehabilitation in Patients with Lung Cancer Complicated with COPD

Objective: To search, evaluate and integrate the best domestic and foreign evidence on the preoperative pre-rehabilitation of lung cancer patients with COPD, and summarize the best evidence. Methods: Cochrane Library, BMJ Best Practice, JBI Center for International Cooperation in Evidence-Based Health Care Library, and Up to were searched by computer system Date, Embase, CINAHL, PubMed, Evidence-Based Health Care Center Database (JBI), American Guidenet, Global Guidenet, CNKI, CMBM, Wanfang, and VIP databases on preoperative pre-rehabilitation of patients with lung cancer and COPD. Literature screening and quality evaluation were conducted independently by two researchers, and evidence was extracted, summarized and summarized according to the theme. Results: A total of 13 kinds of literature were included, including 4 guidelines, 4 systematic reviews, 3 evidence summaries, and 2 expert consensus articles. This paper summarizes 44 best evidence on pre-rehabilitation of lung cancer patients with COPD, including 8 aspects: pre-rehabilitation content and principle, pre-rehabilitation assessment, exercise rehabilitation, nutrition management, psychological guidance, health education, multidisciplinary cooperation, quality control and follow-up. Conclusion: The best evidence of preoperative pre-rehabilitation for patients with lung cancer complicated with COPD is rich in content, and needs to be selected according to the characteristics of the hospital and the clinical environment. Some of the evidence still needs to be confirmed by higher-quality studies. .