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Non-small-cell lung cancer (NSCLC) represents a highly prevalent form of malignancy. 5-methylcytosine (m 5 C) methylation functions as a key post-transcriptional regulatory mechanism linked to cancer progression. The persistent expression of PD-L1 in tumor cells plays a pivotal role in facilitating immune evasion and promoting T-cell exhaustion. However, the involvement of m 5 C in NSCLC immune evasion remains inadequately understood. This study seeks to explore the function of the m 5 C methyltransferase NSUN2 in modulating PD-L1 expression and facilitating immune evasion in NSCLC. Our findings indicate elevated levels of NSUN2 and ALYREF in NSCLC, and both promote the growth of NSCLC cells and the progression of lung cancer. Moreover, the expression of PD-L1 in NSCLC tissues positively correlates with NSUN2 and ALYREF expression. We then discovered that PD-L1 acts as a downstream target of NSUN2-mediated m 5 C modification in NSCLC cells. Knocking down NSUN2 significantly reduces m 5 C modification of PD-L1 mRNA, thereby decreasing its stability via the m 5 C reader ALYREF-dependent manner. Furthermore, inhibiting NSUN2 enhanced CD8 + T-cell activation and infiltration mediated by PD-L1, thereby boosting antitumor immunity, as confirmed in both in vitro and in vivo experiments. Collectively, these results suggested that NSUN2/ALYREF/PD-L1 axis plays a critical role in promoting NSCLC progression and tumor cell immune suppression, highlighting its potential as a novel therapeutic strategy for NSCLC immunotherapy., Competing Interests: Declarations. Conflict of interest: The authors declare that they have no potential conflict of interest. Ethical approval: The study had been approved by the ethics and research committees of the Shanghai Chest Hospital. All patients were duly informed before the samples collection, and written informed consent was received from each patient., (© 2025. The Author(s).)

Heterogeneous nuclear ribonucleoprotein A2B1 (HNRNPA2B1), a member of the A/B subfamily of hnRNPs, plays a critical role in tumorigenesis, yet its expression patterns, molecular mechanisms, and prognostic significance remain inadequately characterized. In this study, we performed a comprehensive pan-cancer analysis utilizing multiple public databases, revealing that HNRNPA2B1 is consistently overexpressed in most tumor types and correlates with poor prognosis across several malignancies. Pathway enrichment analysis highlighted its involvement in RNA alternative splicing, transport, and stability, processes that contribute to tumor progression. Epigenetic analyses identified gene amplification and alternative splicing as potential mechanisms driving HNRNPA2B1 overexpression. Furthermore, elevated HNRNPA2B1 levels conferred resistance to multiple chemotherapeutics, including Dasatinib. Functional studies demonstrated that HNRNPA2B1 enhances lung cancer cell proliferation and migration by upregulating TARDBP and cell cycle-related genes, with m6A modification serving as a critical regulatory mechanism. Collectively, these findings establish HNRNPA2B1 as an oncogenic factor across multiple cancer types, underscoring its value as a prognostic marker and a promising therapeutic target, particularly in lung cancer, offering new insights for targeted therapeutic strategies., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2025 Elsevier B.V. All rights reserved.)

Background: There is no consensus regarding whether primary tumour resection (PTR) should be performed in non-small cell lung cancer (NSCLC) patients with unexpected pleural dissemination (PD) discovered at thoracotomy., Materials and Methods: Consecutive NSCLC patients with surgically confirmed PD were retrospectively enrolled from two high-volume centres between January 2016 and December 2023. Patients were divided into the primary tumour resection (PTR) and exploratory thoracotomy (ET) group. PTR included wedge resection, segmentectomy and lobectomy. Patients in the ET group received biopsy only. Propensity score matching (PSM) was used to reduce selection bias from confounding factors. Disease-specific survival (DSS) and progression-free survival (PFS) were analysed using the Kaplan‒Meier method, and comparisons were made using the log-rank test. Multivariate Cox regression analyses were performed to identify the independent prognostic factors., Results: A total of 223 patients were identified: 167 (74.9%) in the PTR group and 56 (25.1%) in the ET group. The median follow-up time and median survival time (MST) were 39.0 months and 49.0 months, respectively. The MST for the ET and PTR groups were 44.0 and 60.0 months, respectively (HR 0.80, 95% CI 0.51-1.24; p = 0.3097). After PSM, there were no significant differences in terms of median disease-specific survival (DSS: 60.0 vs. 61.0 months, p = 0.3419) or progression-free survival (PFS: 30.0 vs. 47.0 months, p = 0.5471) between the two groups. Multivariate analysis revealed that smoking history and a tumour size ≥ 3 cm were independent risk factors for DSS and PFS, whereas targeted therapy was an independent protective factor., Conclusion: Our results suggest that primary tumour resection does not improve long-term survival in NSCLC patients with unexpected PD discovered at thoracotomy. It is high time to re-evaluate the value of surgery for NSCLC patients with PD and avoid overtreatment, especially in the era of targeted therapy and immunotherapy., Trial Registration: ClinicalTrials.gov NCT06232967 (approval date: January 31, 2024)., Competing Interests: Declarations. Ethics approval and consent to participate: The study was carried out in accordance with the Declaration of Helsinki and was approved by the ethics committee of Ethics Committee of Daping Hospital Hospital (approval number: 2024-01; approval date: January 17, 2024) and The First Affiliated Hospital of Chongqing Medical University (approval number: K2024-045-01; approval date: January 26, 2024). All patients signed the informed consent form prior to the surgery. The need for individual consent to the utilization of their clinicopathological data for scientific research purposes was waived by the committee. Consent for publication: Not Applicable. Financial support and sponsorship: None. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Chemo-immunotherapy is the current first-line treatment for patients with extensive-stage small cell lung cancer (ES-SCLC), but survival benefits are modest. We aimed to evaluate the safety, antitumor activity and biomarkers of first-line camrelizumab and apatinib plus chemotherapy in untreated ES-SCLC patients. In this single-arm trial (ClinicalTrials.gov NCT05001412), eligible patients received 2 cycles of etoposide and carboplatin (EC) as induction treatment followed by 2-4 cycles of camrelizumab, apatinib plus EC, then maintenance camrelizumab plus apatinib. Primary endpoint was safety. Secondary endpoints included objective response rate (ORR), duration of response, progression-free survival (PFS), and overall survival (OS). Targeted sequencing and whole transcriptome sequencing were performed to explore biomarkers. All enrolled 40 patients were treated and analyzed for safety. During the entire treatment, treatment-emergent adverse events (TEAEs) occurred in 40 patients (100%), and 30 (75.0%) were grade ≥3. The most common grade ≥3 TEAEs were neutropenia (35.0%), anemia (15.0%) and increased alanine aminotransferase (15.0%). No treatment-related deaths occurred. Among 36 evaluable patients, ORR was 88.9% (95% CI: 73.9%-96.9%), median PFS was 7.3 months (95% CI: 6.6-9.2) and median OS was 17.3 months (11.8-not reached). Mutations in RB1, high levels of tumor mutation burden, natural killer cells, and interferons, and low levels of cancer-associated fibroblasts, correlated with prolonged PFS. Induction chemotherapy followed by camrelizumab, apatinib plus EC demonstrated acceptable safety and promising antitumor activity in untreated ES-SCLC patients. The identified biomarkers need further validation.Trial Registration ClinicalTrials.gov Identifier: NCT05001412., Competing Interests: Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Background: Dysbiosis of the lung microbiome can contribute to the initiation and progression of lung cancer. Synchronous multiple primary lung cancer (sMPLC) is an increasingly recognized subtype of lung cancer characterized by high morbidity, difficulties in early detection, poor prognosis, and substantial clinical challenges. However, the relationship between sMPLC pathogenesis and changes in the lung microbiome remains unclear., Methods: In this study, 16S rRNA sequencing was performed on clinical samples to analyze lung microbiome composition. Real-time quantitative PCR (qPCR) was used to quantify bacterial abundance in lung tissues. In addition, flow cytometry was conducted to evaluate cell cycle progression and apoptosis in lung tumor cells., Results: Clinical cohort studies demonstrated that sMPLC occurrence is associated with disturbances in the lung microbiome. Notably, Streptococcus intermedius was enriched in the lungs of sMPLC patients compared with non-tumor controls and accumulated preferentially in tumor tissues. S. intermedius shortened the cell cycle and inhibited apoptosis in lung cancer cells. Analyses of oral and gut microbiomes in different patient cohorts revealed a strong correlation between oral microbiome imbalances and lung microbiome composition in sMPLC patients., Conclusions: These findings characterize the lung microbiota in sMPLC and identify S. intermedius as a potentially influential bacterial strain. This study provides significant new insights into the diagnosis and treatment of sMPLC., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2025 Deng, Dong, Yang, Krimsky, Tai, Peng, Huang, Xu, Sarkar, Peng and Qian.)

The resistance of tumor cells to apoptosis often leads to chemoresistance and treatment failure in clinic. In this study, we have developed a Cu 2+ -coordinated lignosulfonate (CLS) /doxorubicin (DOX) biological complex (referred to as LCD) with the aim of overcoming cellular resistance to apoptosis for combined lung cancer therapy. The copper complexes modified by CLS exhibit significant water solubility and excellent in vivo biocompatibility. The proportion of copper in the composite is simultaneously increased. Due to the coordination and π-π stacking effects, the self-assembled LCD exhibits nanometer-scale particle size, a narrow and homogeneous grain distribution, as well as excellent dispersion stability. Furthermore, LCD has the potential to disassemble in the presence of high levels of glutathione (GSH) and low pH, leading to effective drug release. Cu 2+ -mediated cuproptosis can lead to the down-regulation of FDX1 and DLAT protein expression by reducing mitochondrial membrane potential, resulting in non-apoptotic programmed cell death (PCD) regardless of cellular resistance to apoptosis. Moreover, the released DOX not only exhibits a preference for localizing in the cell nucleus to induce apoptosis for combined chemotherapy, but also generates a substantial amount of H 2 O 2 . This H 2 O 2 further produces ROS to induce apoptosis through Fenton reaction with Cu 2+ . LCD demonstrates significant superiority over monotherapy in inhibiting tumor growth while minimizing systemic toxicity through the combined action of cuproptosis and apoptosis. This study may provide a potential avenue for the advancement of self-delivery nanomedicine to overcome resistance to apoptosis in tumor therapy., Competing Interests: Conflicts of interest The authors have no conflicts of interest to declare., (Copyright © 2024. Published by Elsevier B.V.)

Objective: This study aimed to evaluate the diagnostic accuracy of 18 F-fibroblast activation protein inhibitor (FAPI) PET/computed tomography (CT) in identifying primary tumors and mediastinal lymph node metastases in nonsmall cell lung cancer (NSCLC), with histopathological findings serving as the reference standard., Methods: Nineteen patients underwent preoperative 18 F-FAPI PET/CT and subsequent surgery; of these, 13 also underwent 18 F-fluorodeoxyglucose (FDG) PET/CT within 1 week. The diagnostic accuracy of primary tumors and lymph node metastases was evaluated for both modalities. Semiquantitative parameters, including maximum standardized uptake values (SUV max ) and target-to-background ratios (TBRs), for both primary tumors and lymph node metastases were assessed for both modalities., Results: For primary tumors, 18 of 19 (94.7%) showed positive results on 18 F-FAPI PET/CT scans. In 13 patients who also underwent 18 F-FDG PET/CT, 18 F-FAPI PET/CT demonstrated a higher detection rate compared with 18 F-FDG PET/CT (100% vs. 69.1%). The overall accuracy of lymph node assessment with 18 F-FAPI PET/CT (95.9-97.1%) was significantly higher compared to 18 F-FDG PET/CT (51.0%). Malignant lymph nodes exhibited significantly higher SUV max and TBR on 18 F-FAPI scans (SUV max : 7.0 vs. 0.9, P  < 0.001; TBR muscle : 5.0 vs. 0.8, P  < 0.001) than on 18 F-FDG scans (SUV max : 3.9 vs. 1.8, P  = 0.01), except for the liver TBR on 18 F-FDG scans (TBR liver : 1.8 vs. 1.0, P  = 0.055)., Conclusion: 18 F-FAPI could be utilized in the preoperative staging of NSCLC to mitigate the incidence of false positives associated with 18 F-FDG, due to its higher accuracy in identifying mediastinal lymph node metastasis., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: The aim of this study is to explore the clinicopathological features, radiographic manifestations, treatment options, and prognosis of primary pulmonary angiosarcoma (PPAS)., Method: We summarized and analyzed the clinical data of 11 patients with primary pulmonary angiosarcoma treated at the First Affiliated Hospital of Guangzhou Medical University between January 2018 and January 2024. A retrospective analysis was conducted in conjunction with a review of the relevant literature., Results: Among the 11 cases, the primary symptoms were nonspecific respiratory issues, with chest pain, cough, and shortness of breath being the most common. Initial diagnosis was correct in only 2 cases, while the remaining 9 cases were misdiagnosed as other conditions, such as lung nodules, infections, or pulmonary embolism. All patients were ultimately diagnosed via pathology, with CD31 and CD34 showing a high positivity rate of 60%. Of the 11 patients, 9 have died, and 2 remain alive. The average survival period was 13.2 months.Based on the number of lesions, PPAS was categorized into three types: solitary, multiple, and invasive pulmonary artery. The average survival period for the solitary type (2 cases) was 15.5 months, for the multiple type (5 cases) was 6.6 months, and for the pulmonary artery type (4 cases) was 20.5 months. Among the 3 patients who underwent surgery, the median overall survival (OS) was 23.0 months, whereas for the 8 non-surgical patients, the median OS was 9.7 months., Conclusion: Primary pulmonary angiosarcoma is a rare, highly aggressive vascular malignancy characterized by nonspecific clinical symptoms and a tendency for metastasis and pulmonary artery embolism. Currently, no effective treatment exists, and the overall prognosis is poor., Competing Interests: Declarations. Ethics approval and consent to participate: This study has obtained the informed consent from all participants.Ethics approval and consent to participate and informed consent to participate has clearly in manuscript. Consent for publication: Participants agree to publish images or other personal or clinical details.Written informed consent for publication of their clinical details and/or clinical images was obtained from the patients. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

The natural sequential collapse method (NSCM) can be employed during surgery to reduce the duration of segmentectomy. This method avoids inflating the lung by rapidly blocking vessels within the tumor basin. It is important to note that the color of the lungs should be used to determine the surgical procedure. The NSCM is efficient and straightforward in revealing the intersegmental plane., Competing Interests: None declared., (Thieme. All rights reserved.)

Background: Lung cancer is one of the most frequently diagnosed cancers and non-small-cell lung cancer (NSCLC) poses major diagnoses. Urolithin A (UA) is a natural compound produced by the gut microbiota through the metabolism of polyphenol ellagitannins (ETs) and ellagic acid (EA), which has been found to inhibit epithelial-mesenchymal transition (EMT) in lung cancer cell lines. However, the mechanism of UA function in NSCLC remains elusive., Propose: This study aimed to investigate the potential effectiveness of UA in NSCLC therapeutic and uncovering its underlying mechanisms., Methods: Effects of UA treatment, TMSB10 gene knockdown or overexpression on NSCLC cell phenotype were evaluated by availability, transwell assays. The downstream factors and pathways of UA were investigated by proteomics. TMSB10 expression in NSCLC tissues was detected by bioinformatics analysis as well as immunohistochemistry. Confocal imaging, GST pull-down and western blotting investigated the mechanism of UA induced TMSB10 degradation., Results: In the present study, we demonstrated that UA shows an inhibitory role in NSCLC cell proliferation, migration, and invasion. This inhibition is attributed to the accelerated degradation of TMSB10, a biomarker among various cancers, via the autophagy-lysosome pathway. Additionally, knocked down of TMSB10 showed a similar phenotype with UA treatment. The reduction of TMSB10 protein level following decreased ATP level inhibits the F-actin formation for cell migration, thereby disrupting the equilibrium between G-actin-TMSB10 and G-actin-ATP interactions in A549 cells., Conclusion: Our results reveal that UA is potential for NSCLC therapeutics through reducing the protein level of TMSB10 to deformation the F-actin., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier GmbH. All rights reserved.)

Background: The increasing prevalence of multiple primarylung cancers (MPLCs) presents challenges to current diagnostic and clinicalmanagement approaches. However, the molecular mechanisms driving MPLCdevelopment and distinguishing it from solitary primary lung cancers (SPLCs)remain largely unexplored., Methods: We performed a comparative single-cell RNAsequencing (scRNA-seq) analysis on tumour and adjacent para-tumour tissues fromMPLC and SPLC patients to comparatively evaluate their immunological landscapes.Additionally, multiplex immunofluorescence (mIF) staining and independentvalidation datasets were used to confirm findings., Results: MPLCs and SPLCs share significant similarities in genetic, transcriptomic and immune profiles, suggesting common therapeutic strategies such as EGFR-TKIs andICIs. Notably, an immunosuppressive macrophage subtype, F13A1+ Macrophage (Mϕ), is specifically enriched in MPLCs. This subtype overexpresses M2 macrophagemarkers and exhibits up-regulation of SPP1-CD44/CCL13-ACKR1 interactions, indicatingits role in shaping the immunosuppressive tumour microenvironment and promotingtumour growth in MPLCs., Conclusions: This study unveils shared molecular mechanismsbetween MPLCs and SPLCs, while identifying MPLC-specific cellular and molecularfeatures, such as the role of F13A1+ macrophages. The findings provide novelinsights into MPLC pathogenesis, supporting the development of targetedtherapeutic strategies., Key Points: Comparative scRNA-seq analysis reveals significant similarities in genetic, transcriptomicand immune profiles between MPLCs and SPLCs. Identification of a unique immunosuppressive F13A1+ macrophage subtype, preferentially enriched in MPLCs, linked to immune evasion and tumourprogression. SPP1-CD44/CCL13-ACKR1 interactions are crucial in MPLC tumour microenvironment, indicating potential targets for therapeutic intervention., (© 2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.)

Purpose: To construct a tumor motion monitoring model for stereotactic body radiation therapy (SBRT) of lung cancer from a feasibility perspective., Methods: A total of 32 treatment plans for 22 patients were collected, whose planning CT and the centroid position of the planning target volume (PTV) were used as the reference. Images of different respiratory phases in 4DCT were acquired to redefine the targets and obtain the floating PTV centroid positions. In accordance with the planning CT and CBCT registration parameters, data augmentation was accomplished, yielding 2130 experimental recordings for analysis. We employed a stacking multi-learning ensemble approach to fit the 3D point cloud variations of body surface and the change of target position to construct the tumor motion monitoring model, and the prediction accuracy was assess using root mean squared error (RMSE) and R-Square (R 2 )., Results: The prediction displacement of the stacking ensemble model shows a high degree of agreement with the reference value in each direction. In the first layer of model, the X direction (RMSE =0.019 ∼ 0.145mm, R 2 =0.9793∼0.9996) and the Z direction (RMSE = 0.051 ∼ 0.168 mm, R 2 = 0.9736∼0.9976) show the best results, while the Y direction ranked behind (RMSE = 0.088 ∼ 0.224 mm, R 2 = 0.9553∼ 0.9933). The second layer model summarizes the advantages of unit models of first layer, and RMSE of 0.015 mm, 0.083 mm, 0.041 mm, and R 2 of 0.9998, 0.9931, 0.9984 respectively for X, Y, Z were obtained., Conclusions: The tumor motion monitoring method for SBRT of lung cancer has potential application of non-ionization, non-invasive, markerless, and real-time., (Copyright © 2024. Published by Elsevier Inc.)

Background: The early stages of tumor bone metastasis are closely associated with changes in the vascular niche of the bone microenvironment, and abnormal angiogenesis accelerates tumor metastasis and progression. However, the effects of lung adenocarcinoma (LUAD) cells reprogrammed by the bone microenvironment on the vascular niche within the bone microenvironment and the underlying mechanisms remain unclear. This study investigates the effects and mechanisms of LUAD cells reprogrammed by the bone microenvironment on endothelial cells and angiogenesis, providing insights into the influence of tumor cells on the vascular niche within the bone microenvironment., Methods: The culture media from bone-metastatic LUAD cell A549-GFP-LUC-BM3 (BM3-CM) and A549-GFP-LUC (A549-CM) were separately applied to human umbilical vein endothelial cell (HUVEC). A colony formation assay, scratch assay, and tube formation assay were conducted to evaluate the proliferation, migration, and angiogenesis of HUVEC. Gene set enrichment analysis (GSEA) was conducted to identify enriched pathways, while reverse transcription quantitative polymerase chain reaction (RT-qPCR) and enzyme linked immunosorbent assay (ELISA) were performed to quantify hepatocyte growth factor (HGF), a protein that plays a crucial role in angiogenesis. Furthermore, the pivotal function of HGF and its underlying molecular mechanisms have been substantiated through the utilisation of recombinant proteins, neutralising antibodies, pathway inhibitors, immunofluorescence staining, and Western blot., Results: BM3-CM demonstrated a more pronounced impact on the proliferation, migration, and angiogenesis of HUVEC compared to A549-CM. Bioinformatics analysis, combined with in vitro experiment, demonstrated that the secretory protein HGF was significantly elevated in BM3 cells and BM3-CM (P<0.05). The addition of HGF neutralizing antibodies to BM3-CM inhibited the promoting effect of BM3-CM on HUVEC (P<0.05), while the addition of recombinant HGF to A549-CM reproduced that promoting effect of BM3-CM on HUVEC (P<0.05). HGF can enhance the activation of YAP (Yes-associated protein) in HUVEC, and this promotion effect may be achieved by activating Src and activating YAP into the nucleus (P<0.05), but this effect can be inhibited by HGF neutralizing antibodies (P<0.05). Furthermore, the addition of recombinant HGF to A549-CM can recapitulate the YAP activation effect of BM3-CM in HUVEC (P<0.05)., Conclusions: Bone microenvironment reprogrammed bone-metastatic LUAD cells BM3 promote the proliferation, migration, and angiogenesis of HUVEC through the HGF/YAP axis, potentially playing a significant role in the modifications of the vascular niche.

Background: Soy isoflavones have been reported to exhibit anti-tumor effects. We hypothesize that genetic variants in soy isoflavone metabolism-related genes are associated with the risk of lung cancer., Methods: A two-stage case-control study design was conducted in this study. The discovery stage included 300 lung cancer cases and 600 healthy controls to evaluate the association of candidate genetic variants with lung cancer risk. The validation stage involved 1200 cases and 1200 controls to validate the associations found. Furthermore, qPCR was performed to assess the mRNA expression levels of different genotypes of the SNP. ELISA was used to explore the association between genotype and soy isoflavone levels, as well as the association between soy isoflavone levels and lung cancer risk., Results: A nonlinear association was observed between plasma soy isoflavone levels and lung cancer risk, with higher soy isoflavone levels associated with lower lung cancer risk (P < 0.001). The two-stage case-control study identified that UGT1A1 rs3755319 A > C was associated with decreased lung cancer risk (Recessive model: adjusted OR = 0.69, 95 %CI = 0.57-0.84, P < 0.001). Moreover, eQTL analysis showed that the expression level of UGT1A1 in the rs3755319 CC genotype was lower than in the AA + AC genotype (P < 0.05). The plasma concentration of soy isoflavones in the rs3755319 CC genotype was higher than in the AA + AC genotype (P = 0.008)., Conclusions: We identified a potentially functional SNP, UGT1A1 rs3755319 A > C, as being associated with decreased lung cancer risk. Further experiments will be needed to explore the mechanisms underlying the observed associations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Traditional general anesthesia in elderly lung cancer patients undergoing pulmonary lobectomy may lead to hemodynamic fluctuations and postoperative complications. To optimize anesthesia efficacy, this study explores the application of combined anesthesia (general anesthesia combined with thoracic paravertebral block) in such surgeries. We evaluated the improvement of pulmonary oxygenation function, hemodynamic stability, and respiratory compliance in elderly lung cancer patients undergoing pulmonary lobectomy with combined anesthesia. This retrospective study analyzed 100 elderly lung cancer patients who underwent pulmonary lobectomy at our hospital from February 2020 to December 2023. Patients were divided into 2 groups: the control group received general anesthesia, while the treatment group received combined anesthesia (general anesthesia plus thoracic paravertebral block). By comparing intraoperative hemodynamic parameters, postoperative pulmonary oxygenation function, respiratory compliance, cognitive function, sleep quality, and postoperative complication rates between the 2 groups, we assessed the application efficacy of combined anesthesia. Compared to the control group, the treatment group exhibited better hemodynamic stability intraoperatively, significantly improved postoperative pulmonary oxygenation function and respiratory compliance. Additionally, patients in the treatment group showed faster recovery of cognitive function, better sleep quality, and a relatively lower incidence of postoperative complications. Combined anesthesia demonstrates unique advantages in pulmonary lobectomy for elderly lung cancer patients, optimizing intraoperative hemodynamic stability, promoting postoperative pulmonary function recovery, accelerating cognitive function recovery, improving sleep quality, and potentially reducing the risk of postoperative complications. This finding provides a new effective strategy for anesthesia management in elderly lung cancer patients., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment landscape for non-small cell lung cancer (NSCLC). The variability in patient responses necessitates a blood-based, multi-cohort gene signature to predict ICI response in NSCLC., Methods: We performed transcriptomic profiling of peripheral blood mononuclear cell (PBMC) and buffy coat (BC) samples from three independent cohorts of NSCLC patients treated with ICIs: a retrospective cohort (PMBCR, n = 59), a retrospective validation cohort (BC, n = 44), and a prospective validation cohort (PBMCP, n = 42). We identified a 5-gene signature (UQCRB, NDUFA3, CDKN2D, FMNL1-DT, and APOL3) predictive of ICI response and validated its clinical utility in the prospective PBMCP cohort. Response was evaluated using RECIST criteria, and patients were followed up for progression-free survival (PFS) and overall survival (OS)., Results: In the prospective PBMCP cohort, the 5-gene signature demonstrated high accuracy in stratifying patients into responders and non-responders (AUC = 0.89, 95% CI: 0.80-0.99). Predicted responders exhibited significantly longer PFS compared to predicted non-responders (median: 13.8 months vs. 4.2 months, HR = 0.21, 95% CI: 0.07-0.58, p = 0.005)., Conclusion: Our study confirms a 5-gene signature as a key biomarker for ICI response in NSCLC, enhancing treatment precision., (© 2024. The Author(s).)

The regulatory mechanisms underlying bone metastasis in lung adenocarcinoma (LUAD) are not yet fully understood despite the frequent occurrence of bone involvement. This study aimed to examine the involvement and mechanism of integrin subunit beta 3 (ITGB3) in the process of LUAD bone metastasis. Our findings indicate that ITGB3 facilitates the migration and invasion of LUAD cells in vitro and metastasis to the bone in vivo. Furthermore, ITGB3 stimulates osteoclast production and activation, thereby expediting osteolytic lesion progression. Extracellular vesicles (EVs) isolated from the conditioned medium (CM) of LUAD cells overexpressing ITGB3 determined that ITGB3 facilitates osteoclastogenesis and enhances osteoclast activity by utilizing EVs-mediated transport to RAW264.7 cells. Our in vivo findings demonstrated that ITGB3-EVs augmented the population of osteoclasts, thereby establishing an osteoclastic pre-metastatic niche (PMN) conducive to the colonization and subsequent growth of LUAD cells in the bone. ITGB3 is enriched in serum EVs of patients diagnosed with LUAD bone metastasis, potentially facilitating osteoclast differentiation and activation in vitro. Our research illustrates that ITGB3-EVs derived from LUAD cells facilitate osteoclast differentiation and activation by modulating the phosphorylation level of p38 MAPK. This process ultimately leads to the generation of osteolytic PMN and accelerates the progression of bone metastasis., (© 2024 Wiley Periodicals LLC.)

Despite breakthroughs of immunotherapy synergistically combined with blockade of vascular endothelial growth factor receptor, several patients with advanced non-small cell lung cancer (NSCLC) experience non-response or followed relapse. Organized lymphoid aggregates, termed tertiary lymphoid structures (TLSs), are found to be associated with improved response to immunotherapy. Here, we explore the landscapes of TLSs in tumour tissues from a real-world retrospective study. Our investigation showed that with a median follow-up of 11.2 months, the ORR was 28.6% (18/63, 95% CI 17.9-41.3) and the median PFS was 6.1 (95% CI 5.5-6.6) months in NSCLC patients treated with PD-1 blockade combined with anlotinib. By multiplex immunofluorescence (mIF) analysis, spatially, more TLSs and high CD20+ B-cell ratio in TLSs were associated with higher ORR. High density of intratumoral CD8+ T cells showed better ORR and PFS. The numbers of CD8+ T cells with a distance within 20 μm and 20-50 μm between tumour cells were higher in responders than non-responders. But responders had significantly higher TLSs within 20 μm rather than within 20-50 μm of tumour cells than non-responders. The inflamed immunophenotyping occupied higher proportions in responders and was associated with better PFS. Besides, tumour cells in non-responders were found more temporal cell-in-cell structures than responders, which could protect inner cells from T-cell attacks. Taken together, landscape of TLSs and proximity architecture may imply superior responses to PD-1 blockade combined with anlotinib for patients with advanced non-small cell lung cancer., (© 2024 John Wiley & Sons Ltd.)

Objective: To investigate the mechanism mediating the regulatory effect of lncRNA MAGI2-AS3 on cisplatin (DDP) resistance in non-small cell lung cancer (NSCLC)., Methods: MAGI2-AS3 and miR-1269a expression levels were detected by qRT-PCR in DDP-sensitive lung cancer cell lines (A549 and H1299) and their resistant counterparts (A549/DDP and H1299/DDP). In A549 and H1299 cells with MAGI2-AS3 silencing and A549/DDP and H1299/DDP cells overexpressing MAGI2-AS3, the effects of 20 μmol/L DDP on cell viability and apoptosis were examined with CCK-8 assay, colony formation assay, flow cytometry and Western blotting, and the changes in epithelial-mesenchymal transition (EMT) were assessed with wound healing and Transwell assays. The interaction between MAGI2-AS3, miR-1269a and PTEN was predicted using GEPIA, StarBase and miRDB and verified with luciferase reporter gene assay and radioimmunoprecipitation (RIP) assay. A miR-1269a mimic and pcDNA3.1-PTEN plasmid were used to perform the rescue assay., Results: MAGI2-AS3 expression was significantly downregulated in lung cancer tissues ( P < 0.05) in association with a poor prognosis ( P < 0.05). In the two DDP-resistant lung cancer cell lines, MAGI2-AS3 expression was significantly lowered as compared with the sensitive cells. Silencing MAGI2-AS3 significantly enhanced cell viability and promoted EMT of A549 and H1299 cells irrespective of DDP treatment, and also decreased DDP-induced apoptosis of the cells. In A549/DDP and H1299/DDP cells, MAGI2-AS3 overexpression strongly repressed cell viability and EMT irrespective of DDP treatment and promoted DDP-induced cell apoptosis. Luciferase reporter gene and RIP assays confirmed the binding of MAGI2-AS3 with miR-1269a and the binding of miR-1269a with 3 '-UTR domain of PTEN. The rescue assay demonstrated that MAGI2-AS3 acted as a sponge for miR-1269a to promote PTEN expression and downregulate AKT phosphorylation, thus inhibiting EMT and promoting DDP-induced apoptosis of A549/DDP cells., Conclusion: MAGI2-AS3 enhances DDP sensitivity of NSCLC by targeted regulation of the miR-1269a/PTEN/AKT signaling axis.

A 41 year old female with stage 5 chronic kidney disease undergoing hemodialysis was admitted to the hospital. Chest CT scan revealed a large mass lesion of approximately 6.0 × 3.5x4.9 cm in size in the anterior superior mediastinum and a ground glass nodule in the upper lobe of the right lung, which increased in size from 9 × 7 mm 1 year and 9 months ago to 11mmx9mm before surgery. We designed a localization method to accurately locate the pulmonary nodule and successfully performed thoracoscopic minimally invasive resection of both thymoma and lung cancer through a subxiphoid approach with the same incision for this patient. With the support of perioperative hemodialysis, the patient's outcome is good. The pathological diagnosis of the anterior mediastinal mass is thymoma (b1 type), and the pathological diagnosis of the right upper lobe nodule is invasive lung adenocarcinoma (acinar type). This report describes the diagnosis and treatment process of the case., (© 2024. The Author(s).)

Purpose: Differentiating pulmonary lymphoma from lung infections using CT images is challenging. Existing deep neural network-based lung CT classification models rely on 2D slices, lacking comprehensive information and requiring manual selection. 3D models that involve chunking compromise image information and struggle with parameter reduction, limiting performance. These limitations must be addressed to improve accuracy and practicality., Methods: We propose a transformer sequential feature encoding structure to integrate multi-level information from complete CT images, inspired by the clinical practice of using a sequence of cross-sectional slices for diagnosis. We incorporate position encoding and cross-level long-range information fusion modules into the feature extraction CNN network for cross-sectional slices, ensuring high-precision feature extraction., Results: We conducted comprehensive experiments on a dataset of 124 patients, with respective sizes of 64, 20 and 40 for training, validation and testing. The results of ablation experiments and comparative experiments demonstrated the effectiveness of our approach. Our method outperforms existing state-of-the-art methods in the 3D CT image classification problem of distinguishing between lung infections and pulmonary lymphoma, achieving an accuracy of 0.875, AUC of 0.953 and F1 score of 0.889., Conclusion: The experiments verified that our proposed position-enhanced transformer-based sequential feature encoding model is capable of effectively performing high-precision feature extraction and contextual feature fusion in the lungs. It enhances the ability of a standalone CNN network or transformer to extract features, thereby improving the classification performance. The source code is accessible at https://github.com/imchuyu/PTSFE ., (© 2024. CARS.)

Background: Post-translational modification pathway of protein ubiquitination is intricately associated with tumorigenesis. We previously reported elevated ubiquitin-conjugating enzyme 2T (UBE2T) as an independent risk factor in stage I lung adenocarcinoma and promoting cellular proliferation. However, its underlying mechanisms needed further investigation., Methods: Immunohistochemistry was used to assess the expression of UBE2T and retinoic acid receptor-related orphan receptor α (RORA) in stage I LUAD. Cell proliferation, migration, and invasion of LUAD cell lines were measured by Cell Counting Kit-8 assay (CCK-8), Colony-forming assay and Transwell assay, respectively. Western blot analysis was performed to determine the expression of epithelial-mesenchymal transition (EMT) markers. A xenograft model was established to evaluate the proliferative capacity of UBE2T and its interaction with RORA in promoting LUAD. Mechanistic insights into the promotion of early-stage LUAD by UBE2T were obtained through luciferase reporter assay, chromatin immunoprecipitation and co-immunoprecipitation., Results: UBE2T and RORA expression was significantly up- and down-regulated in early-stage LUAD patients which's proved to be associated with unfavorable outcomes, strengthened cell proliferation, migration, EMT and invasion through its interaction with RORA both in vivo and in vitro. The growth NSCLC xenografts was reduced by down-expression of UBE2T but was suppressed by RORA knockout. Mechanistically, UBE2T mediated the ubiquitination of the intermediate transcription factor PBX1, which played a transcriptional role in downstream regulation of RORA., Conclusion: The oncogenic role of UBE2T and the UBE2T-PBX1-RORA axis in driving malignant progression in Stage I LUAD had been established. UBE2T might be a novel and promising therapeutic target for LUAD treatment., (© 2024. The Author(s).)

Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, but its medical application faces challenges of complex data processing, high inter-batch variability, and unidentified metabolites. Here, we present DeepMSProfiler, an explainable deep-learning-based method, enabling end-to-end analysis on raw metabolic signals with output of high accuracy and reliability. Using cross-hospital 859 human serum samples from lung adenocarcinoma, benign lung nodules, and healthy individuals, DeepMSProfiler successfully differentiates the metabolomic profiles of different groups (AUC 0.99) and detects early-stage lung adenocarcinoma (accuracy 0.961). Model flow and ablation experiments demonstrate that DeepMSProfiler overcomes inter-hospital variability and effects of unknown metabolites signals. Our ensemble strategy removes background-category phenomena in multi-classification deep-learning models, and the novel interpretability enables direct access to disease-related metabolite-protein networks. Further applying to lipid metabolomic data unveils correlations of important metabolites and proteins. Overall, DeepMSProfiler offers a straightforward and reliable method for disease diagnosis and mechanism discovery, enhancing its broad applicability., (© 2024. The Author(s).)

Nowadays in our society, lung cancer is exhibiting a high mortality rate and threat to human health. Conventional diagnostic techniques used in the field of lung cancer often necessitate the use of extensive instrumentation, exhibit a tendency for false positives, and are not suitable for widespread early screening purposes. Conventional approaches to treat lung cancer primarily involve surgery, chemotherapy, and radiotherapy. However, these broad-spectrum treatments suffer from drawbacks such as imprecise targeting and significant side effects, which restrict their widespread use. Metal-organic frameworks (MOFs) have attracted significant attention in the diagnosis and treatment of lung cancer owing to their tunable electronic properties and structures and potential applications. These porous nanomaterials are formed through the intricate assembly of metal centers and organic ligands, resulting in highly versatile frameworks. Compared to traditional diagnostic and therapeutic modalities, MOFs can improve the sensitivity of lung cancer biomarker detection in the diagnosis of lung cancer. In terms of treatment, they can significantly reduce side effects and improve therapeutic efficacy. Hence, this perspective provides an overview concerning the advancements made in the field of MOFs as potent biosensors for lung cancer biomarkers. It also delves into the latest research dealing with the use of MOFs as carriers for drug delivery. Additionally, it explores the applications of MOFs in various therapeutic approaches, including chemodynamic therapy, photodynamic therapy, photothermal therapy, and immunotherapy. Furthermore, this review comprehensively analyses potential applications of MOFs as biosensors in the field of lung cancer diagnosis and combines different therapeutic approaches aiming for enhanced therapeutic efficacy. It also presents a concise overview of the existing obstacles, aiming to pave the way for future advancements in lung cancer diagnosis and treatment.

The gene C5orf34 exhibits evolutionary conservation among mammals, and emerging evidence suggests its potential involvement in tumor development; however, comprehensive investigations of this gene are lacking. This study aims to elucidate the functional attributes and underlying mechanisms of C5orf34 in cancer. To evaluate its clinical predictive value, we conducted an analysis of the pan-cancerous expression, clinical data, mutation, and methylation data of C5orf34. Additionally, we investigated the correlation between C5orf34 and tumor mutant load (TMB), immune cell infiltration, and microsatellite instability (MSI) through relevant analyses. Furthermore, immunohistochemical (IHC) staining was employed to validate clinical samples, while knockdown and overexpression experiments and transcriptome RNA sequencing were utilized to examine the impact of C5orf34 on LUAD cells. According to our study, C5orf34 exhibits high expression levels in the majority of malignant tumors. The upregulation of C5orf34 is governed by DNA copy number alterations and methylation patterns, and it is closely associated with patients' survival prognosis and immune characteristics, thereby holding significant clinical implications. Furthermore, IHC staining analysis, cellular experiments, and transcriptome RNA sequencing have provided evidence supporting the role of C5orf34 in modulating the cell cycle to promote LUAD proliferation, migration, and invasion. This highlights its potential as a promising therapeutic target. The findings of this investigation suggest that C5orf34 may serve as a valuable biomarker for various tumor types and represent a potential target for immunotherapy, particularly in relation to the proliferation, migration, and apoptosis of LUAD cells., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Automatic detection of pulmonary nodule based on computer tomography (CT) images can significantly improve the diagnosis and treatment of lung cancer. However, there is a lack of effective interactive tools to record the marked results of radiologists in real time and feed them back to the algorithm model for iterative optimization. This paper designed and developed an online interactive review system supporting the assisted diagnosis of lung nodules in CT images. Lung nodules were detected by the preset model and presented to doctors, who marked or corrected the lung nodules detected by the system with their professional knowledge, and then iteratively optimized the AI model with active learning strategy according to the marked results of radiologists to continuously improve the accuracy of the model. The subset 5-9 dataset of the lung nodule analysis 2016(LUNA16) was used for iteration experiments. The precision, F1-score and MioU indexes were steadily improved with the increase of the number of iterations, and the precision increased from 0.213 9 to 0.565 6. The results in this paper show that the system not only uses deep segmentation model to assist radiologists, but also optimizes the model by using radiologists' feedback information to the maximum extent, iteratively improving the accuracy of the model and better assisting radiologists.

Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. We previously reported superior symptom control of electronic patient-reported outcome (ePRO)-based symptom management after lung cancer surgery for up to 1 month postdischarge. Here, we present the long-term results (1-12 months) of this multicenter, randomized trial, where patients were assigned 1:1 to receive postoperative ePRO-based symptom management or usual care daily postsurgery, twice weekly postdischarge until 1 month, and at 3, 6, 9, and 12 months postdischarge. Long-term patient-reported outcomes were assessed with MD Anderson Symptom Inventory-Lung Cancer module. Per-protocol analyses were performed with 55 patients in the ePRO group and 57 in the usual care group. At 12 months postdischarge, the ePRO group reported significantly fewer symptom threshold events (any of the five target symptom scored ≥4; median [IQR], 0 [0-0] v 0 [0-1]; P = .040) than the usual care group. From 1 to 12 months postdischarge, the ePRO group consistently reported significantly lower composite scores for physical interference (estimate, -0.86 [95% CI, -1.32 to -0.39]) and affective interference (estimate, -0.70 [95% CI, -1.14 to -0.26]). Early intensive ePRO-based symptom management after lung cancer surgery reduced symptom burden and improved functional status for up to 1 year postdischarge, supporting its integration into standard care.

Background: Tertiary lymphoid structures (TLSs) affect the prognosis and efficacy of immunotherapy in patients with non-small cell lung cancer (NSCLC), but the underlying mechanisms are not well understood., Methods: TLSs were identified and categorized online from the Cancer Digital Slide Archive (CDSA). Overall survival (OS) and disease-free survival (DFS) were analyzed. GSE111414 and GSE136961 datasets were downloaded from the GEO database. GSVA, GO and KEGG were used to explore the signaling pathways. Immune cell infiltration was analyzed by xCell, ssGSEA and MCP-counter. The analysis of WGCNA, Lasso and multivariate cox regression were conducted to develop a gene risk score model based on the SU2C-MARK cohort., Results: TLS-positive was a protective factor for OS according to multivariate cox regression analysis (p = 0.029). Both the TLS-positive and TLS-mature groups exhibited genes enrichment in immune activation pathways. The TLS-mature group showed more activated dendritic cell infiltration than the TLS-immature group. We screened TLS-related genes using WGCNA. Lasso and multivariate cox regression analysis were used to construct a five-genes (RGS8, RUF4, HLA-DQB2, THEMIS, and TRBV12-5) risk score model, the progression free survival (PFS) and OS of patients in the low-risk group were markedly superior to those in the high-risk group (p < 0.0001; p = 0.0015, respectively). Calibration and ROC curves indicated that the combined model with gene risk score and clinical features could predict the PFS of patients who have received immunotherapy more accurately than a single clinical factor., Conclusions: Our data suggested a pivotal role of TLSs formation in survival outcome and immunotherapy response of NSCLC patients. Tumors with mature TLS formation showed more activated immune microenvironment. In addition, the model constructed by TLS-related genes could predict the response to immunotherapy and is meaningful for clinical decision-making., (© 2024 The Authors. Thoracic Cancer published by John Wiley & Sons Australia, Ltd.)

Background: Mutations in STK11 (STK11 Mut ) gene may present a negative impact on survival in Non-small Cell Lung Cancer (NSCLC) patients, however, its relationship with immune related genes remains unclear. This study is to unveil whether overexpressed- and mutated-STK11 impact survival in NSCLC and to explore whether immune related genes (IRGs) are involved in STK11 mutations., Methods: 188 NSCLC patients with intact formalin-fixed paraffin-embedded (FFPE) tissue available for detecting STK11 protein expression were included in the analysis. After immunohistochemical detection of STK11 protein, patients were divided into high STK11 expression group (STK11 High ) and low STK11 expression group (STK11 Low ), and then Kaplan-Meier survival analysis and COX proportional hazards model were used to compare the overall survival (OS) and progression-free survival (PFS) of the two groups of patients. In addition, the mutation data from the TCGA database was used to categorize the NSCLC population, namely STK11 Mutated (STK11 Mut ) and wild-type (STK11 Wt ) subgroups. The difference in OS between STK11 Mut and STK11 Wt was compared. Finally, bioinformatics analysis was used to compare the differences in IRGs expression between STK11 Mut and STK11 Wt populations., Results: The median follow-up time was 51.0 months (range 3.0 - 120.0 months) for real-life cohort. At the end of follow-up, 64.36% (121/188) of patients experienced recurrence or metastasis. 64.89% (122/188) of patients ended up in cancer-related death. High expression of STK11 was a significant protective factor for NSCLC patients, both in terms of PFS [HR=0.42, 95% CI= (0.29-0.61), P <0.001] and OS [HR=0.36, 95% CI= (0.25, 0.53), P <0.001], which was consistent with the finding in TCGA cohorts [HR=0.76, 95%CI= (0.65, 0.88), P <0.001 HR=0.76, 95%CI= (0.65, 0.88), P <0.001]. In TCGA cohort, STK11 mutation was a significant risk factor for NSCLC in both lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) histology in terms of OS [HR=6.81, 95%CI= (2.16, 21.53), P <0.001; HR=1.50, 95%CI= (1.00, 2.26), P =0.051, respectively]. Furthermore, 7 IRGs, namely CALCA, BMP6, S100P, THPO, CGA, PCSK1 and MUC5AC, were found significantly overexpressed in STK11-mutated NSCLC in both LUSC and LUAD histology., Conclusions: Low STK11 expression at protein level and presence of STK11 mutation were associated with poor prognosis in NSCLC, and mutated STK11 might probably alter the expression IRGs profiling., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zheng, Deng, Huang and Chen.)

Background: Bone is a common site for metastasis in lung adenocarcinoma, but the mechanism behind lung adenocarcinoma bone metastasis is still unclear. And currently, there is a lack of easily traceable and stable lung adenocarcinoma bone metastasis cell models, which limits the research on the mechanism of lung adenocarcinoma bone metastasis. The establishment of human lung adenocarcinoma cell line that are highly metastatic to bone, labeled with green fluorescent proteins (GFP) and fireflies luciferase (LUC), along with transcriptomic characterization, would be beneficial for research on lung adenocarcinoma bone metastasis and provide new experimental methods., Methods: The human lung adenocarcinoma cell line A549-GFP-LUC was injected into nude mice via the left ventricle to construct a bone metastasis model, and was domesticated in vivo for three consecutive times to obtain the human high bone metastasis lung adenocarcinoma cell line A549-GFP-LUC-BM3; cell counting kit-8 (CCK-8), colony formation assay, scratch wound assays, Transwell assay and Western blot were used to compare the proliferation and invasion abilities of A549-GFP-LUC-BM3 with the parental cells. A549-GFP-LUC-BM3 cells and parental cells were further analyzed by transcriptomic sequencing., Results: Human high-bone metastatic lung adenocarcinoma cells A549-GFP-LUC-BM3 was successfully established. Compared to parental cells, this cells exhibited a significantly higher incidence of bone metastasis and enhanced in vitro proliferation, migration, and invasion abilities. Transcriptomic sequencing results revealed that the A549-GFP-LUC-BM3 cell line had 2954 differentially expressed genes compared to the parental cells, with 1021 genes up-regulated and 1933 genes down-regulated. Gene Ontology (GO) functional enrichment analysis indicated that the differentially expressed genes were primarily localized in cellular components such as the cell periphery. The molecular functions identified as significantly enriched included signaling receptor activity, calcium ion binding, and extracellular matrix structural constituent. Additionally, the biological processes found to be enriched were cell adhesion and biological adhesion. The enrichment analysis conducted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that the differentially expressed genes were primarily involved in the metabolism of xenobiotics by cytochrome P450, retinol metabolism, drug metabolism-cytochrome P450, cell adhesion molecules, steroid hormone biosynthesis, and the nuclear factor kappa B (NF-κB) signaling pathway., Conclusions: The highly bone-metastatic human lung adenocarcinoma cell line with GFP and luciferase double labeling was successfully established. The biological behavior and transcriptome sequencing of the cell line suggest that it has a high bone-metastatic potential.

Lung adenocarcinoma is a type of cancer that exhibits a wide range of clinical radiological manifestations, from ground-glass opacity (GGO) to pure solid nodules, which vary greatly in terms of their biological characteristics. Our current understanding of this heterogeneity is limited. To address this gap, we analyze 58 lung adenocarcinoma patients via machine learning, single-cell RNA sequencing (scRNA-seq), and whole-exome sequencing, and we identify six lung multicellular ecotypes (LMEs) correlating with distinct radiological patterns and cancer cell states. Notably, GGO-associated neoantigens in early-stage cancers are recognized by CD8 + T cells, indicating an immune-active environment, while solid nodules feature an immune-suppressive LME with exhausted CD8 + T cells, driven by specific stromal cells such as CTHCR1 + fibroblasts. This study also highlights EGFR(L858R) neoantigens in GGO samples, suggesting potential CD8 + T cell activation. Our findings offer valuable insights into lung adenocarcinoma heterogeneity, suggesting avenues for targeted therapies in early-stage disease., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Background: Lung adenocarcinoma, a leading cause of cancer-related mortality, demands precise prognostic indicators for effective management. The presence of spread through air space (STAS) indicates adverse tumor behavior. However, comparative differences between 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography(PET)/computed tomography(CT) and CT in predicting STAS in lung adenocarcinoma remain inadequately explored. This retrospective study analyzes preoperative CT and 18 F-FDG PET/CT features to predict STAS, aiming to identify key predictive factors and enhance clinical decision-making., Methods: Between February 2022 and April 2023, 100 patients (108 lesions) who underwent surgery for clinical lung adenocarcinoma were enrolled. All these patients underwent 18 F-FDG PET/CT, thin-section chest CT scan, and pathological biopsy. Univariate and multivariate logistic regression was used to analyze CT and 18 F-FDG PET/CT image characteristics. Receiver operating characteristic curve analysis was performed to identify a cut-off value., Results: Sixty lesions were positive for STAS, and 48 lesions were negative for STAS. The STAS-positive was frequently observed in acinar predominant. However, STAS-negative was frequently observed in minimally invasive adenocarcinoma. Univariable analysis results revealed that CT features (including nodule type, maximum tumor diameter, maximum solid component diameter, consolidation tumor ratio, pleural indentation, lobulation, spiculation) and all 18 F-FDG PET/CT characteristics were statistically significant difference in STAS-positive and STAS-negative lesions. And multivariate logistic regression results showed that the maximum tumor diameter and SUVmax were the independent influencing factors of CT and 18 F-FDG PET/CT in STAS, respectively. The area under the curve of maximum tumor diameter and SUVmax was 0.68 vs. 0.82. The cut-off value for maximum tumor diameter and SUVmax was 2.35 vs. 5.05 with a sensitivity of 50.0% vs. 68.3% and specificity of 81.2% vs. 87.5%, which showed that SUVmax was superior to the maximum tumor diameter., Conclusion: The radiological features of SUVmax is the best model for predicting STAS in lung adenocarcinoma. These radiological features could predict STAS with excellent specificity but inferior sensitivity., (© 2024. The Author(s).)

Background: The effects of gut microbiota and metabolites on the responses to immune checkpoint inhibitors (ICIs) in advanced epidermal growth factor receptor (EGFR) wild-type non-small cell lung cancer (NSCLC) have been studied. However, their effects on EGFR-mutated (EGFR +) NSCLC remain unknown., Methods: We prospectively recorded the clinicopathological characteristics of patients with advanced EGFR + NSCLC and assessed potential associations between the use of antibiotics or probiotics and immunotherapy efficacy. Fecal samples were collected at baseline, early on-treatment, response and progression status and were subjected to metagenomic next-generation sequencing and ultra-high-performance liquid chromatography-mass spectrometry analyses to assess the effects of gut microbiota and metabolites on immunotherapy efficacy., Results: The clinical data of 74 advanced EGFR + NSCLC patients were complete and 18 patients' fecal samples were dynamically collected. Patients that used antibiotics had shorter progression-free survival (PFS) (mPFS, 4.8 vs. 6.7 months; P = 0.037); probiotics had no impact on PFS. Two dynamic types of gut microbiota during immunotherapy were identified: one type showed the lowest relative abundance at the response time point, whereas the other type showed the highest abundance at the response time point. Metabolomics revealed significant differences in metabolites distribution between responders and non-responders. Deoxycholic acid, glycerol, and quinolinic acid were enriched in responders, whereas L-citrulline was enriched in non-responders. There was a significant correlation between gut microbiota and metabolites., Conclusions: The use of antibiotics weakens immunotherapy efficacy in patients with advanced EGFR + NSCLC. The distribution characteristics and dynamic changes of gut microbiota and metabolites may indicate the efficacy of immunotherapy in advanced EGFR + NSCLC., (© 2024. The Author(s).)

Cationic lipids play a pivotal role in developing novel drug delivery systems for diverse biomedical applications, owing to the success of mRNA vaccines against COVID-19 and the Phase III antitumor agent EndoTAG-1. However, the therapeutic potential of these positively charged liposomes is limited by dose-dependent toxicity. While an increased content of cationic lipids in the formulation can enhance the uptake and cytotoxicity toward tumor-associated cells, it is crucial to balance these advantages with the associated toxic side effects. In this work, we synthesized the cationic lipid HC-Y-2 and incorporated it into sialic acid (SA)-modified cationic liposomes loaded with paclitaxel to target tumor-associated immune cells efficiently. The SA-modified cationic liposomes exhibited enhanced binding affinity toward both RAW264.7 cells and 4T1 tumor cells in vitro due to the increased ratios of cationic HC-Y-2 content while effectively inhibiting 4T1 cell lung metastasis in vivo . By leveraging electrostatic forces and ligand-receptor interactions, the SA-modified cationic liposomes specifically target malignant tumor-associated immune cells such as tumor-associated macrophages (TAMs), reduce the proportion of cationic lipids in the formulation, and achieve dual objectives: high cellular uptake and potent antitumor efficacy. These findings highlight the potential advantages of this innovative approach utilizing cationic liposomes.

To explore the molecular biological characteristics of lung cancer associated with cystic airspaces (LCCA) and its potential roles on prognosis. A total of 165 LCCAs and 201 non-LCCAs were enrolled in this study. Bulk RNA sequencing was implemented in eight LCCAs and nine non-LCCAs to explore the differentially expressed genes. TCGA data were used to analyze LCCA-specific genes that associated with overall survival (OS). The median age was 60 (IQR 53 to 65) years in LCCA cohort. We found LCCA were predominant in men and had less visceral pleura invasion (VPI) or lympho-vascular invasion (LVI). Moreover, LCCA presented with higher histological heterogeneity. Kaplan-Meier analysis showed that patients of age more than 60 and positive VPI had significantly less PFS in LCCA. Cox regression suggested that LCCA, micropapillary subtype proportion and VPI were the independent risk factors for PFS. LCCA had up-regulated pathways associated with EMT, angiogenesis and cell migration. In addition, LCCA displayed higher levels of immunosuppressor infiltration (M2 macrophages, CAFs and MDSCs) and distinct cell death and metabolic patterns. BCR/TCR repertoire analysis revealed less BCR richness, clonality and high-abundance shared clonotypes in LCCA. Finally, Cox regression analysis identified that four cystic-specific genes, KCNK3, NRN1, PARVB and TRHDE-AS1, were associated with OS of lung adenocarcinoma (LUAD). And cystic-specific risk scores (CSRSs) were calculated to construct a nomogram, which performance well. Our study for the first time indicated significantly distinct molecular biological and immune characteristics between LCCA and non-LCCA, which provide complementary prognostic values in early-stage non-small cell lung cancer (NSCLC)., Competing Interests: Declaration of Competing Interest The authors declare no competing interests., (Copyright © 2024. Published by Elsevier Ltd.)

Introduction: EGFR C797X (C797S or C797G) mutation is the most frequent on-target mechanism of resistance to osimertinib. The hypothesis that the allelic context of C797X/T790M has implications for treatment is on the basis of sporadic reports and needs validation with larger cohorts., Methods: We identified patients with EGFR C797X-mutant NSCLC from nine centers who progressed on osimertinib, all analyzed in a single laboratory through next-generation sequencing. We analyzed genomic profiles and assessed associations between clinical outcomes and C797X status., Results: A total of 365 EGFR C797X-mutant cases were categorized into four subtypes on the basis of allelic context: in cis (75.3%), in trans (6.4%), cis&trans (10.4%), and C797X-only (7.9%). Genomically, the cis&trans subtype displayed the highest frequency of concurrent alterations at osimertinib resistance sites (21.1%), while the in cis subtype had the lowest (8.4%). Clinically, cis&trans patients exhibited the worst progression-free survival (PFS) on both previous (median 7.7 mo) and subsequent treatment (median 1.0 mo) and overall survival (median 3.9 mo). In subsequent treatments, in cis patients exhibited superior PFS with combined brigatinib and cetuximab (median 11.0 mo) compared with other regimens (p = 0.005), while in trans patients exhibited variable outcomes with combined first or second- and third-generation EGFR inhibitor (PFS range: 0.7-8.1 mo, median 2.6 mo). Notably, subtype switching was observed after subsequent treatments, predominantly toward the in cis subtype., Conclusions: Allelic context could define four EGFR C797X-mutant NSCLC subtypes with heterogeneous genetic landscapes and distinct clinical outcomes. Subsequent treatments further complicate the scenario through subtype switching., (Copyright © 2023 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.)

Background: Early research indicates that cancer patients are more vulnerable to adverse outcomes and mortality when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Nonetheless, the specific attributes of SARS-CoV-2 in lung Adenocarcinoma (LUAD) have not been extensively and methodically examined., Methods: We acquired 322 SARS-CoV-2 infection-related genes (CRGs) from the Human Protein Atlas database. Using an integrative machine learning approach with 10 algorithms, we developed a SARS-CoV-2 score (Cov-2S) signature across The Cancer Genome Atlas and datasets GSE72094, GSE68465, and GSE31210. Comprehensive multi-omics analysis, including assessments of genetic mutations and copy number variations, was conducted to deepen our understanding of the prognosis signature. We also analyzed the response of different Cov-2S subgroups to immunotherapy and identified targeted drugs for these subgroups, advancing personalized medicine strategies. The expression of Cov-2S genes was confirmed through qRT-PCR, with GGH emerging as a critical gene for further functional studies to elucidate its role in LUAD., Results: Out of 34 differentially expressed CRGs identified, 16 correlated with overall survival. We utilized 10 machine learning algorithms, creating 101 combinations, and selected the RFS as the optimal algorithm for constructing a Cov-2S based on the average C-index across four cohorts. This was achieved after integrating several essential clinicopathological features and 58 established signatures. We observed significant differences in biological functions and immune cell statuses within the tumor microenvironments of high and low Cov-2S groups. Notably, patients with a lower Cov-2S showed enhanced sensitivity to immunotherapy. We also identified five potential drugs targeting Cov-2S. In vitro experiments revealed a significant upregulation of GGH in LUAD, and its knockdown markedly inhibited tumor cell proliferation, migration, and invasion., Conclusion: Our research has pioneered the development of a consensus Cov-2S signature by employing an innovative approach with 10 machine learning algorithms for LUAD. Cov-2S reliably forecasts the prognosis, mirrors the tumor's local immune condition, and supports clinical decision-making in tumor therapies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Xu, Deng, Yang, Wang, Yang and Zhang.)

Background: Numerous studies have characterized the gut microbiome (GM) in lung cancer (LC). Yet, the causality between GM and LC and its subtypes remain uncharacterized., Methods: Two-sample Mendelian randomization (MR) was designed to investigate the causal relationship between the GM and LC and its subtypes, using publicly available summary data of genome-wide association studies. The researchers ran two groups of MR analyses, including the genome-wide statistical significance threshold (5 × 10 -8 ) and the locus-wide significance level (1 × 10 -5 )., Results: Using MR analysis, we ascertained 42 groups of GM that are intimately linked to LC and its subtypes at the locus-wide significance level. Of the 42 groups, 12 were in LC, nine in non-small cell lung cancer (NSCLC), six in small cell lung cancer (SCLC), two in lung adenocarcinomas, and 13 in lung squamous carcinomas. After false discovery rate correction, we still found a remarkable causal interaction between the Eubacterium ruminantium group and SCLC. Moreover, five groups of GM closely linked to LC and its subtypes were recognised at the genome-wide statistical significance threshold. This finding included one group each in LC, NSCLC and SCLC, two groups in lung adenocarcinoma and none in lung squamous carcinoma. None of the foregoing findings were heterogeneous or horizontal pleiotropy. Reverse MR revealed that genetic susceptibility to LC and its subtypes caused significant changes in three groups of GM., Conclusion: Our findings substantiate the causality between GM and LC and its subtypes. This study offers fresh insights into the function of GM in mediating the progression of LC., (© 2024 The Authors. Thoracic Cancer published by John Wiley & Sons Australia, Ltd.)

Purpose: Cell-free circulating tumor DNA (ctDNA) has shown its potential as a quantitative biomarker for longitudinal monitoring of response to anticancer therapies. However, ctDNA dynamics have not been studied in patients with heavily pretreated, advanced solid tumors, for whom therapeutic responses can be weak. We investigated whether changes in ctDNA could predict clinical outcomes in such a cohort treated with combined poly(ADP-ribose) polymerase/vascular endothelial growth factor receptor inhibitor therapy., Materials and Methods: Patients with metastatic pancreatic ductal adenocarcinoma (PDAC), triple-negative breast cancer (TNBC), small-cell lung cancer (SCLC), or non-small-cell lung cancer (NSCLC) received up to 7 days of cediranib 30 mg orally once daily monotherapy lead-in followed by addition of olaparib 200 mg orally twice daily. Patients had progressed on a median of three previous lines of therapy. Plasma samples were collected before and after cediranib monotherapy lead-in and on combination therapy at 7 days, 28 days, and every 28 days thereafter. ctDNA was quantified from plasma samples using a multigene mutation-based assay. Radiographic assessment was performed every 8 weeks., Results: ctDNA measurements were evaluable in 63 patients. The median baseline ctDNA variant allele fractions (VAFs) were 20%, 28%, 27%, and 34% for PDAC, TNBC, SCLC, and NSCLC, respectively. No association was observed between baseline VAF and radiographic response, progression-free survival, or overall survival (OS). Similarly, no association was found between ctDNA decline and radiographic response or survival. However, an increase in ctDNA at 56 days of combination therapy was associated with disease progression and inferior OS in a landmark analysis., Conclusion: ctDNA levels or dynamics did not correlate with radiographic response or survival outcomes in patients with advanced metastatic malignancies treated with olaparib and cediranib.

The recently approved KRAS G12C mutation-specific inhibitors sotorasib and adagrasib (KRAS G12C -I) represent a promising therapy for KRAS G12C -driven non-small cell lung cancer (NSCLC). However, many eligible patients do not benefit due to intrinsic or acquired drug resistance. Tissue factor (TF) is overexpressed in KRAS-mutated (KRASmut) NSCLC and is the target of the FDA-approved ADC Tivdak. Here, we employed HuSC1-39, the parent antibody of a clinical stage TF-ADC (NCT04843709), to investigate the role of TF in KRASmut NSCLC. We found that patients with TF-overexpression had poor survival, elevated P-ERK/P-AKT activity levels and low immune effector cell infiltration in the tumor. In a panel of KRAS G12C cell lines, KRAS G12C -I response correlated with suppression of TF mRNA, which was not observed in resistant cells. In the drug resistant cells, TF-overexpression relied on an mTORC2-mediated and proteasome-dependent pathway. Combination treatment of HuSC1-39 or mTORC1/2 inhibitor MTI-31 with KRAS G12C -I each produced synergistic antitumor efficacy in cell culture and in an orthotopic lung tumor model. TF-depletion in the resistant cells diminished epithelial mesenchymal transition, reduced tumor growth and greatly sensitized KRAS G12C -I response. Moreover, employing immunohistochemistry and coculture studies, we demonstrated that HuSC1-39 or MTI-31 reset the tumor microenvironment and restore KRAS G12C -I sensitivity by reshaping an M1-like macrophage profile with greatly enhanced phagocytic capacity toward tumor cell killing. Thus, we have identified the TF/mTORC2 axis as a critical new mechanism for triggering immunosuppression and KRAS G12C -I resistance. We propose that targeting this axis with HuSC1-39 or MTI-31 will improve KRAS G12C -I response in KRAS-driven NSCLC., (© 2024. The Author(s).)

Background: Many biological studies have shown that lncRNAs regulate the expression of epigenetically related genes. The study of lncRNAs has helped to deepen our understanding of the pathogenesis of complex diseases at the molecular level. Due to the large number of lncRNAs and the complex and time-consuming nature of biological experiments, applying computer techniques to predict potential lncRNA-disease associations is very effective. To explore information between complex network structures, existing methods rely mainly on lncRNA and disease information. Metapaths have been applied to network models as an effective method for exploring information in heterogeneous graphs. However, existing methods are dominated by lncRNAs or disease nodes and tend to ignore the paths provided by intermediate nodes., Methods: We propose a deep learning model based on hierarchical graphical attention networks to predict unknown lncRNA-disease associations using multiple types of metapaths to extract features. We have named this model the MMHGAN. First, the model constructs a lncRNA-disease-miRNA heterogeneous graph based on known associations and two homogeneous graphs of lncRNAs and diseases. Second, for homogeneous graphs, the features of neighboring nodes are aggregated using a multihead attention mechanism. Third, for the heterogeneous graph, metapaths of different intermediate nodes are selected to construct subgraphs, and the importance of different types of metapaths is calculated and aggregated to obtain the final embedded features. Finally, the features are reconstructed using a fully connected layer to obtain the prediction results., Results: We used a fivefold cross-validation method and obtained an average AUC value of 96.07% and an average AUPR value of 93.23%. Additionally, ablation experiments demonstrated the role of homogeneous graphs and different intermediate node path weights. In addition, we studied lung cancer, esophageal carcinoma, and breast cancer. Among the 15 lncRNAs associated with these diseases, 15, 12, and 14 lncRNAs were validated by the lncRNA Disease Database and the Lnc2Cancer Database, respectively., Conclusion: We compared the MMHGAN model with six existing models with better performance, and the case study demonstrated that the model was effective in predicting the correlation between potential lncRNAs and diseases., (© 2024. The Author(s).)

Background: The development of radioresistance seriously hinders the efficacy of radiotherapy in lung cancer. However, the underlying mechanisms by which radioresistance occurs are still incompletely understood. The N 6 -Methyladenosine (m 6 A) modification of RNA is involved in cancer progression, but its role in lung cancer radioresistance remains elusive. This study aimed to identify m 6 A regulators involved in lung cancer radiosensitivity and further explore the underlying mechanisms to identify therapeutic targets to overcome lung cancer radioresistance., Methods: Bioinformatic mining was used to identify the m 6 A regulator IGF2BP2 involved in lung cancer radiosensitivity. Transcriptome sequencing was used to explore the downstream factors. Clonogenic survival assays, neutral comet assays, Rad51 foci formation assays, and Annexin V/propidium iodide assays were used to determine the significance of FBW7/IGF2BP2/SLC7A5 axis in lung cancer radioresistance. Chromatin immunoprecipitation (ChIP)-qPCR analyses, RNA immunoprecipitation (RIP) and methylated RNA immunoprecipitation (MeRIP)-qPCR analyses, RNA pull-down analyses, co-immunoprecipitation analyses, and ubiquitination assays were used to determine the feedback loop between IGF2BP2 and SLC7A5 and the regulatory effect of FBW7/GSK3β on IGF2BP2. Mice models and tissue microarrays were used to verify the effects in vivo., Results: We identified IGF2BP2, an m 6 A "reader", that is overexpressed in lung cancer and facilitates radioresistance. We showed that inhibition of IGF2BP2 impairs radioresistance in lung cancer both in vitro and in vivo. Furthermore, we found that IGF2BP2 enhances the stability and translation of SLC7A5 mRNA through m 6 A modification, resulting in enhanced SLC7A5-mediated transport of methionine to produce S-adenosylmethionine. This feeds back upon the IGF2BP2 promoter region by further increasing the trimethyl modification at lysine 4 of histone H3 (H3K4me3) level to upregulate IGF2BP2 expression. We demonstrated that this positive feedback loop between IGF2BP2 and SLC7A5 promotes lung cancer radioresistance through the AKT/mTOR pathway. Moreover, we found that the ubiquitin ligase FBW7 functions with GSK3β kinase to recognize and degrade IGF2BP2., Conclusions: Collectively, our study revealed that the m 6 A "reader" IGF2BP2 promotes lung cancer radioresistance by forming a positive feedback loop with SLC7A5, suggesting that IGF2BP2 may be a potential therapeutic target to control radioresistance in lung cancer., (© 2024. The Author(s).)

Background: The role of senescent cells in the tumor microenvironment (TME) is usually bilateral, and diverse therapeutic approaches, such as radiotherapy and chemotherapy, can induce cellular senescence. Cellular interactions are widespread in the TME, and tumor cells reprogram immune cells metabolically by producing metabolites. However, how senescent cells remodel the metabolism of TME remains unclear. This study aimed to explore precise targets to enhance senescent cells-induced anti-tumor immunity from a metabolic perspective. Methods: The in vivo senescence model was induced by 8 Gy×3 radiotherapy or cisplatin chemotherapy, and the in vitro model was induced by 10 Gy-irradiation or cisplatin treatment. Metabonomic analysis and ELISA assay on tumor interstitial fluid were performed for metabolites screening. Marker expression and immune cell infiltration in the TME were analyzed by flow cytometry. Cell co-culture system and senescence-conditioned medium were used for crosstalk validation in vitro . RNA sequencing and rescue experiments were conducted for mechanism excavation. Immunofluorescence staining and single-cell transcriptome profiling analysis were performed for clinical validation. Results: We innovatively reveal the metabolic landscape of the senescent TME, characterized with the elevation of adenosine. It is attributed to the senescent tumor cell-induced CD73 upregulation of tumor-associated macrophages (TAMs). CD73 expression in TAMs is evoked by SASP-related pro-inflammatory cytokines, especially IL-6, and regulated by JAK/STAT3 pathway. Consistently, a positive correlation between tumor cells senescence and TAMs CD73 expression is identified in lung cancer clinical specimens and databases. Lastly, blocking CD73 in a senescent background suppresses tumors and activates CD8 + T cell-mediated antitumor immunity. Conclusions: TAMs expressed CD73 contributes significantly to the adenosine accumulation in the senescent TME, suggesting targeting CD73 is a novel synergistic anti-tumor strategy in the aging microenvironment., Competing Interests: Competing Interests: The authors have declared that no competing interest exists., (© The author(s).)

Background: Lung cancer is the most prevalent cancer worldwide, with non-small cell lung cancer (NSCLC) accounting for 85% of all cases. Circular RNAs(circRNA) play crucial roles in regulating the progression of lung cancer. Despite the identification of a large number of circRNAs, their expression patterns, functions, and mechanisms of action in NSCLC development remain unclear.This study aims to investigate the transcriptional expressions, functions, and potential mechanisms of circRNA hsa&#95;circ&#95;0050386 in NSCLC., Methods: Quantitative real-time polymerase chain reaction (qRT-PCR) was utilized for the analysis of hsa&#95;circ&#95;0050386 expression. Cell proliferation was detected using the IncuCyte Live Cell Analysis System and clone formation assays. Migration and invasion of NSCLC cells were evaluated through Transwell assays. Flow cytometry was performed to assay cell cycle and apoptosis. Western blot was used to investigate protein expression. Protein binding analysis was conducted by employing pull-down assays, RNA immunoprecipitation (RIP), and mass spectrometry. The role of hsa&#95;circ&#95;0050386 in vivo was evaluated through the use of a xenograft model., Results: The study discovered that hsa&#95;circ&#95;0050386 displayed lower expression levels in NSCLC tissues when compared to adjacent normal tissues. Patients exhibiting lower levels of hsa&#95;circ&#95;0050386 expression exhibited an inverse correlation with the Clinical Stage, T-stage, and M-stage of NSCLC. Functionally, hsa&#95;circ&#95;0050386 suppressed the proliferation and invasion of NSCLC cells both in vitro and in vivo. A comprehensive examination exposed the interaction between hsa&#95;circ&#95;0050386 and RNA binding protein Serine and arginine-rich splicing factor 3 (SRSF3), resulting in the down-regulation of Fibronectin 1 (FN1) expression, which inhibits the progression of NSCLC., Conclusions: Our study shows that hsa&#95;circ&#95;0050386 suppresses the malignant biological behavior of NSCLC cells by down-regulating the expression of FN1, and may serve as a potential biomarker and therapeutic target for NSCLC treatment., (© 2023. The Author(s).)

Objective: To investigate the impact and potential mechanisms of serum extracellular nano-vesicles (sEVs) miR-412-3p released from sub-centimeter lung nodules with a diameter of ⩽ 10 mm on the malignant biological function of micro-nodular lung cancer (mnLC)., Methods: A total of 87 participants were included and divided into a mnLC group (n= 30), a benign lung nodule (BLN) group (n= 27), and a healthy people control group (n= 30). Transmission electron microscopy (TEM), nanoparticle tracking analysis (NTA) and Western blot (WB) were used to measure the morphological characteristics and surface markers of sEVs. In vitro analysis, real-time quantitative polymerase chain reaction (RT-qPCR), CCK-8 cell proliferation assay, clone formation assay, Transwell, stem cell sphere-forming assay, and WB assay were conducted to verify the effect of miR-412-3p/TEAD1 signaling axis on the biological function of lung cancer cells through, respectively. Further validation was conducted using the serum sEVs of the participants., Results: The expression level of sEVs-miR-412-3p in the mnLC group was significantly higher than that in the BLN and healthy groups (P< 0.01). In lung cancer cell lines, miR-412-3p can negatively regulate the targeted gene TEAD1. The miR-412-3p/TEAD1 signaling axis is involved in promoting the EMT signaling pathway and regulating the malignant biological functions of lung cancer cell proliferation, migration, and stemness (P< 0.05). In addition, sEVs in the mnLC group significantly promoted lung cancer cell proliferation, migration, and stemness compared to the BLN and healthy groups, inhibited the expression of E-cadherin and TEAD1 in lung cancer cells, and promoted the expression of N-cadherin and Vimentin (P< 0.05)., Conclusion: sEVs-miR-412-3p could promote the biological process of EMT, and lead to the occurrence of malignant biological behavior in sub-centimeter lung nodules. This provides evidence for the miR-412-3p/TEAD1 signaling axis as a potential therapeutic target for mnLC.

Introduction: Antibiotic-resistant bacterial infections, such as Pseudomonas aeruginosa and Staphylococcus aureus, are prevalent in lung cancer patients, resulting in poor clinical outcomes and high mortality. Etoposide (ETO) is an FDA-approved chemotherapy drug that kills cancer cells by damaging DNA through oxidative stress. However, it is unclear if ETO can cause unintentional side effects on tumor-associated microbial pathogens, such as inducing antibiotic resistance., Objectives: We aimed to show that prolonged ETO treatment could unintendedly confer fluoroquinolone antibiotic resistance to P. aeruginosa, and evaluate the effect of tumor-associated P. aeruginosa on tumor progression., Methods: We employed experimental evolution assay to treat P. aeruginosa with prolonged ETO exposure, evaluated the ciprofloxacin resistance, and elucidated the gene mutations by DNA sequencing. We also established a lung tumor-P. aeruginosa bacterial model to study the role of ETO-evolved intra-tumoral bacteria in tumor progression using immunostaining and confocal microscopy., Results: ETO could generate oxidative stress and lead to gene mutations in P. aeruginosa, especially the gyrase (gyrA) gene, resulting in acquired fluoroquinolone resistance. We further demonstrated using a microfluidic-based lung tumor-P. aeruginosa coculture model that bacteria can evolve ciprofloxacin (CIP) resistance in a tumor microenvironment. Moreover, ETO-induced CIP-resistant (EICR) mutants could form multicellular biofilms which protected tumor cells from ETO killing and enabled tumor progression., Conclusion: Overall, our preclinical proof-of-concept provides insights into how anti-cancer chemotherapy could inadvertently allow tumor-associated bacteria to acquire antibiotic resistance mutations and shed new light on the development of novel anti-cancer treatments based on anti-bacterial strategies., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Production and hosting by Elsevier B.V.)

Background and Objective: The study aimed to investigate the clinical efficacy of CT-guided microwave ablation (MWA) combined with 125 I seed implantation or bronchial arterial infusion (BAI) chemotherapy in the treatment of malignant pulmonary tumors., Methods: A total of 56 patients who underwent MWA, MWA combined with 125 I particle implantation, or MWA combined with BAI chemotherapy for advanced lung cancer or metastatic lung cancer from January 2015 to June 2021 in Guangdong Provincial People's Hospital were enrolled. Among them, 21 patients were treated with MWA (MWA), 18 with MWA combined with 125 I seed implantation (MWA+ 125 I), and 17 with MWA combined with BAI chemotherapy (MWA+BAI). The short-term outcomes, complications, Eastern Cooperative Oncology Group (ECOG) performance score (Zubrod-ECOG-WHO, ZPS), survival, and factors related to survival were compared between the three groups., Results: The response rate of the MWA group (9.52%) was significantly lower than that of the MWA+ 125 I group (50.00%) and MWA+BAI chemotherapy group (47.06%), and the differences were statistically significant (p < 0.05). The incidence of complications in the MWA, MWA+ 125 I, and MWA+BAI chemotherapy groups was 47.62%, 55.56%, and 52.94%, respectively, with no significant difference (p > 0.05). Three months after the treatment, the ZPS of the MWA+ 125 I and MWA+BAI chemotherapy groups was significantly lower than before treatment and significantly lower than that of the MWA group in the same period; the differences were statistically significant (p < 0.05). The median survival time of the MWA+ 125 I group was 18 (9.983, 26.017) months and that of the MWA+BAI chemotherapy group was 21 (0.465, 41.535) months, both of which were higher than that of the MWA group [11 (6.686, 15.314) months]; the differences were statistically significant (p < 0.05). Cox regression analysis was performed on the factors related to survival and revealed treatment mode as a protective factor [HR = 0.433, 95% CI = (0.191, 0.984), p = 0.046]. Other factors, such as gender, age, and tumor size, did not independently affect survival., Conclusion: CT-guided MWA combined with 125 I seed implantation and MWA combined with BAI chemotherapy are safe and effective for the treatment of advanced lung cancer and metastatic lung cancer, and can control tumor progression and prolong survival time., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Previous evidences have shown that lncRNA AK001058 serves as an oncogene. This study aims to elucidate the expression characteristic of AK001058 in NSCLC samples, and its potential influence on the malignant progression and cisplatin resistance of NSCLC. Relative levels of AK001058 and IGF2 in NSCLC and non-tumoral tissues were detected by qRT-PCR. Proliferation inhibition rate and migratory rate in DDP-induced SPC-A1 and A549 cells were examined by CCK-8 and Transwell assay, respectively. Subsequently, DDP-resistant SPC-A1 and A549 cell lines were generated, and the role of AK001058 in affecting their cell phenotypes was determined. Using dual-luciferase reporter assay, the binding relationship between AK001058 and IGF2 was verified. Their co-regulation on DDP-resistant NSCLC cells was finally explored via rescue experiments. AK001058 was upregulated in NSCLC samples. The proliferative rate was dose-dependently and time-dependently declined in DDP-induced SPC-A1 and A549 cells. Cisplatin induction upregulated AK001058 in NSCLC cells, and attenuated migratory potential. Transfection of sh-AK001058 reduced proliferative and migratory rates in SPC-A1/DDP and A549/DDP cells. IGF2 was the downstream target binding AK001058, which was lowly expressed in NSCLC samples. AK001058 upregulation in NSCLC reduces cisplatin sensitivity and promotes malignant progression by negatively regulating IGF2, leading to cisplatin resistance.

Constituted by various heterogeneous cells, the tumor microenvironment (TME) is capable of promoting tumor proliferation, invasion, and metastasis through extensive crosstalk. The pivotal factor influencing the survival time of patients and their response to immunotherapy lies in the intratumoral immune environment. We obtained 112 differential genes related to T cell-mediated tumor killing in LUAD by employing bioinformatics analysis on the basis of the TCGA and TISIDB databases. Then the 6-gene prognostic risk score model ( CA9 , OIP5 , TIMP1 , SEC11C , FURIN , and TLR10 ) was constructed by conducting univariate LASSO as well as multivariate Cox regression analyses. The median risk score was taken as the threshold to classify the samples into two groups. Survival analysis revealed that the low-risk group exhibited a more favorable prognosis. Subsequently, the Cox regression analysis combined with clinical information (age, gender, and pathological stage) and the risk score of LUAD patients demonstrated the potential of this model as an independent prognostic factor. The nomogram established based on clinical information and a risk score in combination with the calibration curve indicated that this model had good predictive ability. Notable enrichment of the differential genes from the high- and low-risk groups was discovered in immune-associated processes or pathways, as shown by the GO and KEGG enrichment analyses. The combined use of single-sample gene enrichment analysis (ssGSEA) and immunophenoscore (IPS) demonstrated heightened immune infiltration and IPS scores in the low-risk group, indicating that immunotherapy was likely to show good efficacy in patients from this group. To sum up, the prognostic model of LUAD constructed based on T-cell-mediated cell killing-related genes was not only capable of screening the prognosis of LUAD patients but was also used for screening those LUAD patients with high sensitivity to immunotherapy. Our study offered novel insights into the clinical treatment and prognostic prediction of LUAD patients.