Different types of tumor microvessels in stageⅠ-ⅢA squamous cell lung cancer and their clinical significance

BACKGROUND Lung cancer(LC)is the leading cause of morbidity and mortality among malignant neoplasms.Improving the diagnosis and treatment of LC remains an urgent task of modern oncology.Previously,we established that in gastric,breast and cervical cancer,tumor microvessels(MVs)differ in morphology and have different prognostic significance.The connection between different types of tumor MVs and the progression of LC is not well understood.AIM To evaluate the morphological features and clinical significance of tumor MVs in lung squamous cell carcinoma(LUSC).METHODS A single-center retrospective cohort study examined medical records and archival paraffin blocks of 62 and 180 patients with stage I-IIIA LUSC in the training and main cohorts,respectively.All patients underwent radical surgery(R0)at the Orenburg Regional Cancer Clinic from May/20/2009 to December/14/2021.Tumor sections were routinely processed,and routine Mayer's hematoxylin and eosin staining and immunohistochemical staining for cluster of differentiation 34(CD34),podoplanin,Snail and hypoxia-inducible factor-1 alpha were performed.The morphological features of different types of tumor MVs,tumor parenchyma and stroma were studied according to clinicopathological characteristics and LUSC prognosis.Statistical analysis was performed using Statistica 10.0 software.Univariate and multivariate logistic regression analyses were performed to identify potential risk factors for LUSC metastasis to regional lymph nodes(RLNs)and disease recurrence.Receiver operating characteristic curves were constructed to discriminate between patients with and without metastases in RLNs and those with and without disease recurrence.The effectiveness of the predictive models was assessed by the area under the curve.Survival was analyzed using the Kaplan-Meier method.The log-rank test was used to compare survival curves between patient subgroups.A value of P<0.05 was considered to indicate statistical significance.RESULTS Depending on the morphology,we classified tumor vessels into the following types:normal MVs,dilated capillaries(DCs),atypical DCs,DCs with weak expression of CD34,"contact-type"DCs,structures with partial endothelial linings,capillaries in the tumor solid component and lymphatic vessels in lymphoid and polymorphocellular infiltrates.We also evaluated the presence of loose,fine fibrous connective tissue(LFFCT)and retraction clefts in the tumor stroma,tumor spread into the alveolar air spaces(AASs)and fragmentation of the tumor solid component.According to multivariate analysis,the independent predictors of LUSC metastasis in RLNs were central tumor location(P<0.00001),the presence of retraction clefts(P=0.003),capillaries in the tumor solid component(P=0.023)and fragmentation in the tumor solid component(P=0.009),whereas the independent predictors of LUSC recurrence were tumor grade 3(G3)(P=0.001),stage N2(P=0.016),the presence of LFFCT in the tumor stroma(P<0.00001),fragmentation of the tumor solid component(P=0.0001),and the absence of tumor spread through the AASs(P=0.0083).CONCLUSION The results obtained confirm the correctness of our previously proposed classification of different types of tumor vessels and may contribute to improving the diagnosis and treatment of LUSC.

miR-30a-5p/PHTF2 axis regulates the tumorigenesis and metastasis of lung adenocarcinoma

Background:Lung adenocarcinoma is a very pervasive histological form of lung cancers,and inhibiting metastasis is crucial for effective treatment.In this investigation,we explored the functional interaction of miR-30a-5p and the putative transcription factor 2 of the homeodomain(PHTF2)in dictating the aggressiveness and metastasis of lung adenocarcinoma.Method:We collected clinical samples to evaluate the expression patterns of miR-30a-5p and PHTF2 in lung adenocarcinoma along with normal tissues.Cellular experiments including cell count kit(CCK)-8 growth assay,apoptosis analysis,migration and invasion examinations were performed to assess the aggressiveness of lung adenocarcinoma cells.Furthermore,we examined tumorigenesis and metastasis in a nude mouse model.Results:MiR-30a-5p exhibited downregulation pattern in lung adenocarcinoma samples.Transfection of miR-30a-5p mimic in lung adenocarcinoma cells resulted in the suppression of malignant characteristics.Notably,the administration of miR-30a-5p mimic also curbed tumorigenesis and metastasis of lung adenocarcinoma cells in animal model.Moreover,PHTF2 was found to be a molecular target of miR-30a-5p.Upregulating PHTF2 counteracted the tumor-suppressive effect of the miR-30a-5p mimic.Conclusion:miR-30a-5p functions as a tumor-suppressive molecule while PHTF2 acts as an oncogenic factor in the development and metastasis of lung adenocarcinoma.Therefore,targeting miR-30a-5p and PHTF2 could be developed into a promising therapeutic approach for inhibiting metastasis in lung adenocarcinoma.

Diagnostic Value of GDF10 for the Tumorigenesis and Immune Infiltration in Lung Squamous Cell Carcinoma

Objective:Lung squamous cell carcinoma(LUSC)is associated with a low survival rate.Evidence suggests that bone morphogenetic proteins(BMPs)and their receptors(BMPRs)play crucial roles in tumorigenesis and progression.However,a comprehensive analysis of their role in LUSC is lacking.Our study aimed to explore the relationship between BMPs/BMPRs expression levels and the tumorigenesis and prognosis of LUSC.Methods:The“R/Limma”package was utilized to analyze the differential expression characteristics of BMPs/BMPRs in LUSC,using data from TCGA,GTEx,and GEO databases.Concurrently,the“survminer”packages were employed to investigate their prognostic value and correlation with clinical features in LUSC.The core gene associated with LUSC progression was further explored through weighted gene correlation network analysis(WGCNA).LASSO analysis was conducted to construct a prognostic risk model for LUSC.Clinical specimens were examined by immunohistochemical analysis to confirm the diagnostic value in LUSC.Furthermore,based on the tumor immune estimation resource database and tumor-immune system interaction database,the role of the core gene in the tumor microenvironment of LUSC was explored.Results:GDF10 had a significant correlation only with the pathological T stage of LUSC,and the protein expression level of GDF10 decreased with the tumorigenesis of LUSC.A prognostic risk model was constructed with GDF10 as the core gene and 5 hub genes(HRASLS,HIST1H2BH,FLRT3,CHEK2,and ALPL)for LUSC.GDF10 showed a significant positive correlation with immune cell infiltration and immune checkpoint expression.Conclusion:GDF10 might serve as a diagnostic biomarker reflecting the tumorigenesis of LUSC and regulating the tumor immune microenvironment to guide more effective treatment for LUSC.

Physical exercise reverses immuno-cold tumor microenvironment via inhibiting SQLE in non-small cell lung cancer

Dear Editor,Physical exercise has been shown to be associated with reduced cancer incidence and cancer-associated mortality[1,2],but the underlying mechanisms are obscure.Immunometabolic regulation has emerged as one of the most prominent mechanisms explaining the effects of exercise on cancer[1,2].Physical exercise primarily lowers blood cholesterol and triglycerides,and protects against cardiovascular diseases[3].However,whether physical exercise can modulate cholesterol metabolism in tumor cells is currently unknown.

The anti-tumor and mechanism of the benzoisoselenazolone derivatives on the human lung cancer adenocarcinoma A549 cells

Background:In this research,we investigated the anti-cancer effect and the related mechanism of 2-[2-(4-chlorobenzamidomethylthio)-1,3,4-thiadiazol-5-yl]-1,2-benziselenazol-3(2H)-one compound(CTBO)and 2-[2-(4-nitrobenzamidomethylthio)-1,3,4-thiadiazol-5-yl]-1,2-benziselenazol-3(2H)-one compound(NTBO),which we synthesized in our lab previously.Methods:We applied the human lung cancer adenocarcinoma A549 cells to investigate the anti-tumor effect of CTBO and NTBO.The following methods were used in the research,including methylthiazolyldiphenyl-tetrazolium bromide assay,one-step terminal-deoxynucleotidyl transferase mediated nick end labeling,transcriptome sequencing analysis,quantitative reverse transcription polymerase chain reaction and western blot.Results:The results showed that both CTBO and NTBO significantly inhibited the A549 cells proliferation and induced the A549 cells apoptosis.The transcriptome sequencing analysis results illustrated that the two derivatives might exert the apoptotic effects through mitogen-activated protein kinase and tumor necrosis factor signaling pathways activation.Further,the western blot results suggested that CTBO and NTBO exerted anti-cancer effect through different molecular mechanisms.Conclusion:The results above provided fundamental research evidence for the further application of benziselenazolone derivatives in clinical.

Exploring the impact of non-small cell lung cancer tumor microbiome on the efficacy of chemotherapy and immune checkpoint inhibitors

Background:This study aimed to investigate the potential of intratumoral microbiota,gut microbiome,peripheral blood T-cell subsets,and inflammatory markers as predictive biomarkers for antitumor efficacy in patients with non-small cell lung cancer.Methods:This study observed patients with metastatic non-driver mutation non-small cell lung cancer who were initially diagnosed at the First Affiliated Hospital of Dalian Medical University’s Department of Oncology from August 2021 to July 2022 and completed at least four cycles of chemotherapy combined with immune checkpoint inhibitor treatment.Lung biopsy tissues,fecal,and peripheral blood samples were collected from these patients.Based on the efficacy of the combined chemotherapy and immunotherapy,patients were divided into an effective group and an ineffective group.The tumor microbiota,gut microbiome,peripheral blood T-cell subsets,and inflammatory markers were compared between the two groups.The lung and fecal microbiota were analyzed using 16S rRNA high-throughput sequencing.Flow cytometry was used to detect T-cell subsets,and enzyme-linked immunosorbent assay was employed to measure inflammatory factors.Results:A total of 21 patients were observed.There were significant differences in the tumor microbiota between the responsive and non-responsive groups,particularly the proportion of the genera Sphingomonas and Pseudomonas.The gut microbiome composition changed after treatment,but there were no differences between the two groups before treatment.There were no significant differences in T-cell subsets and inflammatory markers between the responsive and non-responsive groups.Conclusion:The composition of intratumoral microbiota in non-small cell lung cancer patients may serve as an indicator of response to chemotherapy combined with immunotherapy.The predictive value of gut microbiota,T-cell subsets,and inflammatory markers appears limited.Future research should further validate the predictive role of changes in gut microbiota on treatment outcomes.

Tumor response assessment by the single-lesion measurement per organ in small cell lung cancer

Background： The criterion of two target lesions per organ in the Response Evaluation Criteria in Solid Tumors （RECIST） version I. 1 is an arbitrary one, being supported by no objective evidence. The optimal number of target lesions per organ still needs to be investigated. We compared tumor responses using the RECIST 1.1 （measuring two target lesions per organ） and modified RECIST I. 1 （measuring the single largest lesion in each organ） in patients with small cell lung cancer （SCLC）. Methods： We reviewed medical records of patients with SCLC who received first-line treatment between January 2004 and December 2014 and compared tumor responses according to the two criteria using computed tomography. Results： There were a total of 34 patients who had at least two target lesions in any organ according to the RECIST 1.1 during the study period. The differences in the percentage changes of the sum of tumor measurements between RECIST 1.1 and modified RECIST 1.1 were all within 13%. Seven patients showed complete response and fourteen showed partial response according to the RECIST I.I. The overall response rate was 61.8%. When assessing with the modified RECIST 1.1 instead of the RECIST 1.1, tumor responses showed perfect concordance between the two criteria （k= 1.0）. Conclusions： The modified RECIST 1.I showed perfect agreement with the original RECIST 1.I in the assessment of tumor response of SCLC. Our result suggests that it may be enough to measure the single largest target lesion per organ for evaluating tumor response.

Prediction of Lung Cancer Stage Using Tumor Gene Expression Data

Lung cancer remains a significant global health challenge and identifying lung cancer at an early stage is essential for enhancing patient outcomes. The study focuses on developing and optimizing gene expression-based models for classifying cancer types using machine learning techniques. By applying Log2 normalization to gene expression data and conducting Wilcoxon rank sum tests, the researchers employed various classifiers and Incremental Feature Selection (IFS) strategies. The study culminated in two optimized models using the XGBoost classifier, comprising 10 and 74 genes respectively. The 10-gene model, due to its simplicity, is proposed for easier clinical implementation, whereas the 74-gene model exhibited superior performance in terms of Specificity, AUC (Area Under the Curve), and Precision. These models were evaluated based on their sensitivity, AUC, and specificity, aiming to achieve high sensitivity and AUC while maintaining reasonable specificity.

Knockdown of HE4 suppresses tumor growth and invasiveness in lung adenocarcinoma through regulation of EGFR signaling

It has been shown that the high expression of human epididymis protein 4(HE4)in most lung cancers is related to the poor prognosis of patients,but the mechanism of pathological transformation of HE4 in lung cancer is still unclear.The current study is expected to clarify the function and mechanism of HE4 in the occurrence and metastasis of lung adenocarcinoma(LUAD).Immunoblotting evaluated HE4 expression in lung cancer cell lines and biopsies,and through analysis of The Cancer Genome Atlas(TCGA)dataset.Frequent HE4 overexpression was demonstrated in LUAD,but not in lung squamous cell carcinoma(LUSC),indicating that HE4 can serve as a biomarker to distinguish between LUAD and LUSC.HE4 knockdown significantly inhibited cell growth,colony formation,wound healing,and invasion,and blocked the G1-phase of the cell cycle in LUAD cell lines through inactivation of the EGFR signaling downstream including PI3K/AKT/mTOR and RAF/MAPK pathways.The first-line EGFR inhibitor gefitinib and HE4 shRNA had no synergistic inhibitory effect on the growth of lung adenocarcinoma cells,while the third-line EGFR inhibitor osimertinib showed additive anti-proliferative effects.Moreover,we provided evidence that HE4 regulated EGFR expression by transcription regulation and protein interaction in LUAD.Our findings suggest that HE4 positively modulates the EGFR signaling pathway to promote growth and invasiveness in LUAD and highlight that targeting HE4 could be a novel strategy for LUAD treatment.

Celecoxib enhances the response of tumor cells to cisplatin through upregulating PUMA in non–small cell lung cancer carrying wild-type p53

Celecoxib,a cyclooxygenase-2 inhibitor,can enhance the efficacy of chemotherapy;however,its effect seems inconsistent.In this study,we investigated whether celecoxib would increase the antiproliferative effects of cisplatin in human lung cancer cells.Our data demonstrated the synergistic effects of celecoxib with cisplatin in wild-type p53 cells and their antagonistic effects inmutated or deleted p53 cells.Combination indices of 0.82 to 0.93 reflected a synergistic effect between celecoxib and cisplatin in lung cancer cells with wild-type p53.Combination indices of 1.63 to 3.00 reflected antagonism between celecoxib and cisplatin in lung cancer cells with mutated or deleted p53.Compared with that in cells with mutated or deleted p53,apoptosis significantly increased with the addition of celecoxib and cisplatin in wild-type p53 cells(P<0.05).Moreover,the results in vivo were similar to those in vitro:celecoxib combinedwith cisplatin slowed tumor growth in wild-type p53 groups and not in mutated or deleted p53 groups.In addition,celecoxib promoted p53 translocation into the nucleus and upregulated active p53 expression in wild-type p53 cells.Celecoxib combined with cisplatin upregulated PUMA(PUMA is a downstream gene of p53)after active p53 increased in wild-type p53 cells.In summary,the combination of celecoxib and cisplatin demonstrates clear synergistic effects in wild-type p53 cells and antagonistic effects inmutated or deleted p53 cells.The synergistic effect was achieved by apoptosis,induced by upregulating PUMA.Our results will provide a new treatment strategy for patients carrying wild-type p53,insensitive to cisplatin.

PKHD1L1 blocks the malignant behavior of lung adenocarcinoma cells and restricts tumor growth by regulating CBX7

Objective:To explore the role of polycystic kidney and hepatic disease 1-like 1(PKHD1L1)in lung adenocarcinoma(LUAD).Methods:Bioinformatics tools were utilized to examine the clinical profile of PKHD1L1 and chromobox protein homolog 7(CBX7)in LUAD.The Cell Counting Kit-8,colony formation,terminal deoxynucleotidyl transferase dUTP nick end labeling,Transwell,and wound-healing assays were carried out to assess the proliferative,apoptotic,invasive,and migrative capacities of the cells.Furthermore,the interrelation between PKHD1L1 and CBX7 was validated using a co-immunoprecipitation assay.A LUAD mice model was constructed by subcutaneous injection of A549 cells.Finally,immunohistochemical staining was performed to evaluate CBX7 and Ki67 expression.Results:PKHD1L1 was downregulated in LUAD and predicted dismal outcomes in patients with LUAD.PKHD1L1 upregulation repressed the proliferative,invasive,and migrative capabilities of A549 cells and exacerbated the apoptotic rate.Additionally,PKHD1L1 may bind to CBX7 and positively modulate CBX7 expression.CBX7 deletion partly abrogated the effects of PKHD1L1 upregulation on the cellular biological activities in A549 cells.Furthermore,the PKHD1L1/CBX7 axis regulates the Hippo signaling pathway in A549 cells.PKHD1L1 restricted tumor growth in LUAD xenograft mice;this was partly abolished by CBX7 knockdown.Conclusion:PKHD1L1 can hinder LUAD progression by regulating CBX7-mediated Hippo signaling.

Incorporation of circulating tumor cells and whole-body metabolic tumor volume of 18F-FDG PET/CT improves prediction of outcome inⅢB stage small-cell lung cancer

Objective: We investigated the correlation between the number of circulating tumor cells(CTCs) and wholebody metabolic tumor volume(WBMTV) measured by 18 F-fluorodeoxyglucose(FDG) positron emission tomography/computed tomography(PET/CT).The aim was to evaluate the value of the incorporation of CTC number and WBMTV in the prognostic prediction of stage III small-cell lung cancer(SCLC).Methods: One hundred and twenty-nine patients were enrolled in this study.All patients were treated with four cycles of a platinum-based regimen and concurrent chest irradiation,followed by prophylactic cranial irradiation.Blood samples for CTC analysis were obtained from 112 patients before the initiation of chemotherapy(as a baseline),after cycle 1 and after cycle 4.CTCs were measured using the CELLSEARCH? system.The patients underwent pretreatment FDG PET/CT WBMTV,which included all malignant lesions.The Spearman rank test was used to determine the correlation among CTC counts,WBMTV and disease stage.Overall survival(OS) and progression-free survival(PFS) curves were produced using the Kaplan-Meier method,and survival differences between groups were assessed by the log-rank test.Results: The number of CTCs at baseline did not correlate with WBMTV before the initiation of therapy(P=0.241).The number of CTCs at baseline and the WBMTV before the initiation of therapy were independent relevant factors for PFS and OS.The subgroup analysis(Group A: CTC count >19.5 and a WBMTV >266.5cm~3;Group B: CTC count >19.5 and a WBMTV ≤266.5cm~3; Group C: CTC count ≤19.5 and a WBMTV >266.5cm~3;Group D: CTC count ≤19.5 and a WBMTV ≤266.5cm~3) showed that the differences were statistically significant in the median PFS(Group A vs.D,P<0.001; Group B vs.D,P=0.018; Group C vs.D,P=0.029) and in the median OS(Group A vs.D,P<0.001; Group B vs.D,P=0.012).Conclusions: CTC number and WBMTV are related to progression and death in patients with SCLC.The incorporation of CTC number and WBMTV scans can provide a detailed prognostic prediction for SCLC.

Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma:a multicenter study

Objective:To develop a deep learning model to predict lymph node(LN)status in clinical stage IA lung adeno-carcinoma patients.Methods:This diagnostic study included 1,009 patients with pathologically confirmed clinical stage T1N0M0 lung adenocarcinoma from two independent datasets(699 from Cancer Hospital of Chinese Academy of Medical Sciences and 310 from PLA General Hospital)between January 2005 and December 2019.The Cancer Hospital dataset was randomly split into a training cohort(559 patients)and a validation cohort(140 patients)to train and tune a deep learning model based on a deep residual network(ResNet).The PLA Hospital dataset was used as a testing cohort to evaluate the generalization ability of the model.Thoracic radiologists manually segmented tumors and interpreted high-resolution computed tomography(HRCT)features for the model.The predictive performance was assessed by area under the curves(AUCs),accuracy,precision,recall,and F1 score.Subgroup analysis was performed to evaluate the potential bias of the study population.Results:A total of 1,009 patients were included in this study;409(40.5%)were male and 600(59.5%)were female.The median age was 57.0 years(inter-quartile range,IQR:50.0-64.0).The deep learning model achieved AUCs of 0.906(95%CI:0.873-0.938)and 0.893(95%CI:0.857-0.930)for predicting pN0 disease in the testing cohort and a non-pure ground glass nodule(non-pGGN)testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.622).The precisions of this model for predicting pN0 disease were 0.979(95%CI:0.963-0.995)and 0.983(95%CI:0.967-0.998)in the testing cohort and the non-pGGN testing cohort,respectively.The deep learning model achieved AUCs of 0.848(95%CI:0.798-0.898)and 0.831(95%CI:0.776-0.887)for predicting pN2 disease in the testing cohort and the non-pGGN testing cohort,respectively.No significant difference was detected between the testing cohort and the non-pGGN testing cohort(P=0.657).The recalls of this model for predicting pN2 disease were 0.903(95%CI:0.870-0.936)and 0.931(95%CI:0.901-0.961)in the testing cohort and the non-pGGN testing cohort,respectively.Conclusions:The superior performance of the deep learning model will help to target the extension of lymph node dissection and reduce the ineffective lymph node dissection in early-stage lung adenocarcinoma patients.

Cone beam computed tomography-guided differences among registration methods for lung cancer and the effects of tumor position,treatment model,and tumor size on positioning errors

Objective To explore the differences in three different registration methods of cone beam computed tomography(CBCT)-guided down-regulated intense radiation therapy for lung cancer as well as the effects of tumor location,treatment mode,and tumor size on registration.Methods This retrospective analysis included 80 lung cancer patients undergoing radiotherapy in our hospital from November 2017 to October 2019 and compared automatic bone registration,automatic grayscale(t+r)registration,and automatic grayscale(t)positioning error on the X-,Y-,and Z-axes under three types of registration methods.The patients were also grouped according to tumor position,treatment mode,and tumor size to compare positioning errors.Results On the X-,Y-,and Z-axes,automatic grayscale(t+r)and automatic grayscale(t)registration showed a better trend.Analysis of the different treatment modes showed differences in the three registration methods;however,these were not statistically significant.Analysis according to tumor sizes showed significant differences between the three registration methods(P<0.05).Analysis according to tumor positions showed differences in the X-and Y-axes that were not significant(P>0.05),while the autopsy registration in the Z-axis showed the largest difference in the mediastinal and hilar lymph nodes(P<0.05).Conclusion The treatment mode was not the main factor affecting registration error in lung cancer.Three registration methods are available for tumors in the upper and lower lungs measuring<3 cm;among these,automatic gray registration is recommended,while any gray registration method is recommended for tumors located in the mediastinal hilar site measuring<3 cm and in the upper and lower lungs≥3 cm.

Malignant Peripheral Nerve Sheath Tumor of the Thigh Invading the Superficial Femoral Artery, with Necrotic Lung Metastases as Presenting Symptoms

A NF1 (neurofibromatosis 1) patient developed multiple necrotic lung metastases from a sciatic malignant peripheral nerve sheath tumor (MPNST) invading the superficial femoral artery. The first diagnosis was metastases of a non-small-cell adenocarcinoma because the right calf MPNST was not clinically noticeable ant that the chest/abdomen PET/CT did not include the region of the legs. When the MPNST was diagnosed, new histological analysis on the metastases changed the diagnosis to that of epithelioid undifferentiated sarcoma. The article deals with the sometimes-delayed diagnosis in those NF1 patients with large palpable masses and chronic pain pre-existing the malignant transformation, and discusses the difficulty of the biopsy of necrotic metastases.

Development for the lung tumor model of newborn mice induced by diethylstilbestrol

Objective： To explore a economical and effective method for building lung tumor model induced by diethylstibestrol （DES）. Methods： The carcinogenic effect of neonatal mice treated by DES was studied. The newborn mice were divided into DES, Urethan （U） and U ＋ DES groups. U group was given in 500 mg/kg dose by ip at postnatal 14 day, DES group was administered by ip at the 1 d, 8 d, 15 d in the dose of 1/7, 2/7 and 4/7 LD50 of the day when they were injected respectively for DES （I）, DES （M）, DES （H） groups. Until 26 weeks, they were anatomized and checked the formation of tumors. The organ index, tumor incidence ratio and mean number of tumors were calculated. Results： Lung tumors were apparently induced in tested neonatal mice. The incidence of lung tumor of DES （L, M, H） groups were 16.7%, 22.4% and 43.1% respectively, the U ＋ DES （L, M, H） groups were 70.4%, 90.9% and 70.8% respectively, and the U group was 53.1%. The mean numbers of lung tumors of U ＋ DES （L, M） groups were higher than those of the DES （L, M） groups respectively （P 〈 0.05）. Conclusion： The higher ratio of lung tumor incidence had been induced by DES and U joined action to neonatal mice, which may be a useful and economical method to establish a lung tumor model induced by DES.

Single-fraction stereotactic ablative body radiation therapy for primary and metastasic lung tumor:A new paradigm?

Stereotactic ablative body radiotherapy(SABR)is an effective technique comparable to surgery in terms of local control and efficacy in early stages of non-small cell lung cancer(NSCLC)and pulmonary metastasis.Several fractionation schemes have proven to be safe and effective,including the single fraction(SF)scheme.SF is an option costeffectiveness,more convenience and comfortable for the patient and flexible in terms of its management combined with systemic treatments.The outbreak of the severe acute respiratory syndrome coronavirus 2 pandemic has driven this not new but underutilized paradigm,recommending this option to minimize patients’visits to hospital.SF SABR already has a long experience,strong evidence and sufficient maturity to reliably evaluate outcomes in peripheral primary NSCLC and there are promising outcomes in pulmonary metastases,making it a valid treatment option;although its use in central locations,synchronous and recurrencies tumors requires more prospective safety and efficacy studies.The SABR radiobiology study,together with the combination with systemic therapies,(targeted therapies and immunotherapy)is a direction of research in both advanced disease and early stages whose future includes SF.

Revisions to the Tumor,Node,Metastasis staging of lung cancer(8th edition):Rationale,radiologic findings and clinical implications

The Tumor, Node, Metastasis(TNM) staging system,adopted by the Union for International Cancer Control(UICC) and the American Joint Committee on Cancer(AJCC), has been recently revised, with the new 8^(th) edition of the staging manual being published in January 2017. This edition has few but important evidencebased changes to the TNM staging system used for lung cancer. Radiologists should be aware of the updated classification system to accurately provide staging information to oncologists and oncosurgeons. In this article, we discuss the rationale, illustrate the changes with relevance to Radiology, and review the clinical implications of the 8^(th) edition of the UICC/AJCC TNM staging system with regards to lung cancer.

Endostatin enhances antitumor effect of tumor antigen-pulsed dendritic cell therapy in mouse xenograft model of lung carcinoma

Objective： To investigate the antitumor effect of endostatin combined with tumor antigen-pulsed dendritic cell （DC）-T cell therapy on lung cancer. Methods： Transplanted Lewis lung cancer （LLC） models of C57BL/6 mice were established by subcutaneous injection of LLC cells in left extremity axillary. Tumor antigen-pulsed DC-T cells from spleen cells and bone of mice were cultured in vitro. Tumor-bearing mice were randomly divided into three groups, including DC- T＋endostatin group, DC-T group, and phosphate-buffered saline （PBS） control group. Microvessel density （MVD） of tumor tissue in tumor-bearing mice was determined by immunohistochemistry （IHC）. The expressions of vascular endothelial growth factor （VEGF） and hypoxia-inducible factor-1α （HIF-1α） were determined by Western blotting and IHC staining. The proportions of CD8＋ T cells, mature dendritic cells （mDC）, tumor-associated macrophages [TAM （M1/M2）], and myeloid-derived suppressor cells （MDSC） in suspended cells of tumor tissue were determined by flow cytometry. The expressions of inter｜eukin （IL）-6, IL-10, IL-17, transforming growth factor-β（TGF-β） and interferon-γ （IFN-γ） in suspended cells of tumor tissue were detected by enzyme-linked immune sorbent assay （ELISA）. Results： DC-T cells combined with endostatin remarkably suppressed tumor growth. MVD of mice in DC- T＋endostatin group was significantly lower than that of the control group and DC-T monotherapy group. The expressions of VEGF, IL-6 and IL-17 in tumors were markedly decreased, but IFN-γ, and HIF-1α increased after treating with DC-T cells combined with endostatin, compared to control group and DC-T group. In the DC- T＋endostatin group, the proportions of MDSC and TAM （M2 type） were significantly decreased, mDC and TAM （Nil type） were up-regulated, and CD8＋ T cells were recruited to infiltrate tumors, in contrast to PBS control and DC-T monotherapy. DC-T cells combined with endostatin potently reduced the expressions of IL-6, IL-10, TGF-β and IL-17 in tumor tissue, and enhanced the expression of IFN-γ. Conclusions： The study indicated the synergic antitumor effects between endostatin and tumor antigen-pulsed DC-T cells, which may be a prospective therapy strategy to achieve potent antitumor effects on lung cancer.