Real­world evidence of advanced non­small cell lung carcinoma treated with an immune checkpoint inhibitor plus chemotherapy.

Immunotherapy is an effective treatment strategy for patients with advanced non-small cell lung cancer (NSCLC). Although clinical trials on immunotherapy have provided promising results, real-world research in clinical practice is needed to assess the effectiveness and safety of immunotherapy. The present study aimed to characterize real-world outcomes in patients with advanced NSCLC treated with immune checkpoint inhibitor (ICI)-based regimens. The medical records of patients with advanced NSCLC, who were treated with programmed cell death protein-1 (PD-1)/programmed cell death 1 ligand 1 (PD-L1) inhibitors, were reviewed for data collection. The primary objectives were to evaluate progression-free survival (PFS) and overall survival (OS). Therefore, multiple Cox regression models were used to investigate the predictive factors for survival outcomes. Furthermore, survival curves for PFS and OS were created using Kaplan-Meier estimates and compared using the log-rank test. The present study included a total of 133 patients with advanced NSCLC who received therapy with ICIs between January 1, 2019 and December 31, 2022. The final follow-up date was August 24, 2023. The median PFS and OS times were 9.8 and 27.2 months, respectively. Univariate Cox regression analysis demonstrated that sex, clinical stage, PD-L1 status, previous systemic therapy, and brain and liver metastases were associated with PFS, while Eastern Cooperative Oncology Group (ECOG) status, clinical stage, PD-L1 status and brain metastasis were associated with OS. Furthermore, multivariate Cox regression analysis demonstrated that a PD-L1 tumor proportion score (TPS) of ≥50% was an indicator of favorable PFS and OS. An ECOG performance status score of ≥1 was also associated with poor OS but not with PFS. Furthermore, brain metastasis was an indicator for poor PFS and OS, while liver metastasis was only associated with a poor PFS. Finally, the results of the present study demonstrated that PD-L1 status was an independent predictor for PFS and OS in patients with advanced NSCLC, especially adenocarcinoma, who were treated with ICIs plus chemotherapy. The results also suggested that patients with a PD-L1 TPS of ≥50% could benefit when the aforementioned regimens were administrated as a first-line or later-line therapy.

A pilot study of nintedanib in molecularly selected patients with advanced non-small cell lung cancer.

Background: Nintedanib is a small molecule tyrosine kinase inhibitor (TKI) targeting vascular endothelial growth factor receptor (VEGFR), platelet-derived growth factor receptor (PDGFR), and fibroblast growth factor receptor (FGFR). The purpose of the study was to evaluate the response rate for patients with advanced non-small cell lung cancer (NSCLC) with mutations in TP53, VEGFR1-3, PDGFR-A, PDGFR-B, and FGFR1-3 treated with nintedanib as part of an open-label, single-arm pilot study. Methods: Patients with advanced NSCLC previously treated with platinum-doublet chemotherapy with the above mutations were enrolled. Exclusion criteria included necrotic tumors with invasion of blood vessels, history of recent thromboembolic events, increased risk of bleeding or thrombosis, myocardial infarction, and weight loss >10% within past 6 months. Nintedanib was administered at a dose of 200 mg orally twice daily until disease progression or unacceptable toxicity. The primary endpoint was objective response rate (ORR) by Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Secondary endpoints included progression-free survival (PFS) and correlating outcomes with specific mutations. This study was registered with ClinicalTrials.gov, number NCT02299141. Results: Between 2015 and 2019, 20 patients were enrolled with a median age was 66 years, 15 (75%) were females, 15 (75%) had adenocarcinoma, and 17 patients had a TP53 mutation (85%). Seventeen (85%) had received prior immunotherapy and 11 (55%) had received at least three prior lines of systemic therapy. The ORR was 15% with three partial responses (PR), while 12 patients had stable disease (SD), with disease control rate (DCR) consisting of a PR and SD greater than or equal to 16 weeks of 65% (n=13). Median PFS was 4.3 months [95% confidence interval (CI): 1.8-7.9] and median overall survival (OS) was 11.3 months (95% CI: 3.5-44.2). Three patients experienced prolonged clinical benefit from nintedanib, remaining on treatment for over 1 year and all three had a TP53 mutation and received prior immunotherapy. The most common adverse events of any grade included nausea (80%), fatigue (70%), diarrhea (60%), and anorexia (60%). Conclusions: In this pilot study in heavily pretreated and molecularly selected patients with metastatic NSCLC, nintedanib showed modest activity.

Analysis of the resistance profile of real-world alectinib first-line therapy in patients with ALK rearrangement-positive advanced non-small cell lung cancer using organoid technology in one case of lung cancer.

Background: Alectinib has achieved excellent therapeutic efficacy in anaplastic lymphoma kinase (ALK) fusion gene-positive non-small cell lung cancer (NSCLC) patients, however, patients eventually develop resistance to it. Exploring the gene variant mapping after alectinib resistance provides a basis for the whole management of ALK-positive advanced NSCLC. This study aimed to characterize the mutation profiles of real-world ALK rearrangement-positive advanced NSCLC patients after first-line alectinib treatment resistance. The research also investigated the treatment options and coping strategies after resistance. Methods: Clinical data of patients with advanced NSCLC who received first-line alectinib treatment in the First Affiliated Hospital of Guangzhou Medical University between November 2018 and April 2022 were collected. Moreover, next-generation sequencing (NGS) data of the patient's baseline and post-resistance tissues were gathered. One patient underwent lung cancer organoid culture and drug sensitivity testing. Results: Out of 35 first-line alectinib-treated patients with advanced NSCLC, 31 are presently in progression-free survival (PFS; 4.3-35.0 months). Four patients experienced progressive disease, and all of them were sequentially treated with ceritinib. Tissue NGS results before sequential treatment in three patients indicated an echinoderm microtubule-associated protein-like 4-ALK fusion that remained at the original baseline, and the PFS for ceritinib treatment was 0.5-1.3 months. One patient developed acquired resistance mutations in the structural domain of ALK protein kinase (V1180L and E1161D), and the PFS for ceritinib treatment was 6.7 months. For one patient who maintained original baseline ALK rearrangement positive without acquired mutation after progression of ceritinib resistance, lung cancer-like organ culture with sequential brigatinib and lorlatinib led to a PFS of 3.2 and 1.9 months, respectively, which aligned with the corresponding drug susceptibility testing results for this patient. Conclusions: For ALK rearrangement-positive patients, blind sequencing of other second-generation tyrosine kinase inhibitors (TKIs) or third-generation lorlatinib may not guarantee satisfactory tumor suppression following first-line second-generation ALK-TKI alectinib administration for treatment progression. NGS testing of patients' blood or tissue samples after disease progression may provide insight into the etiology of alectinib resistance. Patient-sourced drug sensitivity testing of lung cancer-like organs selects drug-sensitive medications based on NGS results and provides a reference for subsequent drug therapy for patients after drug resistance, particularly those who remain ALK rearrangement-positive at baseline.

Predictive risk score for isolated brain metastasis in non-small cell lung cancer.

Background: Brain metastasis is common with non-small cell lung cancer (NSCLC). Patients with some early-stage cancers don't benefit from routine brain imaging. Currently clinical stage alone is used to justify additional brain imaging. Other clinical and demographic characteristics may be associated with isolated brain metastasis (IBM). We aimed to define the most salient clinical features associated with synchronous IBM, hypothesizing that clinical and demographic factors could be used to determine the risk of brain metastasis. Methods: The National Cancer Database was used to identify patients with NSCLC from 2016-2020. Primary outcome was the presence of IBM relative to patients without evidence of any metastasis. Cohorts were divided into test and validation. The test cohort was used to identify risk factors for IBM using multivariable logistic regression. Using the regression, a scoring system was created to estimate the rate of synchronous IBM. The accuracy of the scoring system was evaluated with receiver operating characteristic (ROC) analysis using the validation cohort. Results: Study population consisted of 396,113 patients: 25,907 IBM and 370,206 without metastatic disease. IBM was associated with age, clinical T stage, clinical N stage, Charlson/Deyo comorbidity score, histology, and grade. A scoring system using these factors showed excellent accuracy in the test and validation cohort in ROC analysis (0.806 and 0.805, respectively). Conclusions: Clinical and demographic characteristics can be used to stratify the risk of IBM among patients with NSCLC and provide an evidence-based method to identify patients who require dedicated brain imaging in the absence of other metastatic disease.

Preoperative respiratory assessment predicts post-operative survival in stage IA non-small cell lung cancer.

Background: Respiratory impairment can lead to pulmonary complications after surgery; therefore, it should be considered when determining the choice of surgical procedure. Several studies have examined the relationship between preoperative respiratory function and postoperative mortality and morbidity after lung resection; however, there are no indicators for limited surgical procedure selection. The aim of this study was to examine the association between preoperative respiratory function and postoperative early and late complications, recurrence-free survival (RFS), and overall survival (OS) in patients undergoing pulmonary resection for stage I lung cancer. Methods: We performed a retrospective analysis of data from 192 patients undergoing pulmonary resection for primary pathological stage IA non-small cell lung cancer (NSCLC) at the Iwakuni Clinical Center in Japan between 2012 and 2015. We reviewed clinicopathological characteristics including preoperative pulmonary function and elucidated the relationship between them and postoperative survival. Results: Obstructive ventilatory impairment was present in 55 patients (28.6%), and restrictive ventilatory impairment was present in 31 patients (16.1%). Seven patients (3.6%) had both ventilatory impairment. Obstructive ventilatory impairment did not affect the 5-year RFS (P=0.08) or OS (P=0.21). However, restrictive ventilatory impairment reduced the 5-year RFS (P=0.002) and OS (P=0.009). The rates of early and late complications were not significantly different based on the preoperative respiratory function. Conclusions: In patients with preoperative restrictive ventilatory impairment in whom lobectomy or segmentectomy cannot be performed, careful consideration is needed for surgical indications.

Risk factor analysis and nomogram prediction model construction of postoperative complications of thoracoscopic non-small cell lung cancer.

Background: A series of complications will inevitably occur after thoracoscopic pulmonary resection. How to avoid or reduce postoperative complications is an important research area in the perioperative treatment of thoracic surgery. This study analyzed the risk factors for thoracoscopic postoperative complications of non-small cell lung cancer (NSCLC) and established a nomogram prediction model in order to provide help for clinical decision-making. Methods: Patients with NSCLC who underwent thoracoscopic surgery from January 2017 to December 2021 were selected as study subjects. The relationship between patient characteristics, surgical factors, and postoperative complications was collected and analyzed. Based on the results of the statistical regression analysis, a nomogram model was constructed, and the predictive performance of the nomogram model was evaluated. Results: A total of 872 patients who met the study criteria were included in the study. A total of 171 patients had complications after thoracoscopic surgery, accounting for 19.6% of the study population. Logistic regression analysis showed that thoracic adhesion, history of respiratory disease, and lymphocyte-monocyte ratio (LMR) were independent risk factors for complications after thoracoscopic surgery (P<0.05). Variables with P<0.1 in logistic regression analysis were included in the nomogram model. The verification results showed that the area under curve (AUC) of the model was 0.734 [95% confidence interval (CI): 0.693-0.775], and the calibration curve showed that the model had good differentiation. The decision curve analysis (DCA) curve showed that this model has good clinical application value. In subgroup analysis of complications, gender, history of respiratory disease, body mass index (BMI), type of surgical procedure, thoracic adhesion, and Time of operation were identified as significant risk factors for prolonged air leak (PAL) after surgery. Tumor location and forced expiratory volume in the first second (FEV1) were identified as important risk factors for postoperative pulmonary infection. N stage and thoracic adhesion were identified as significant risk factors for postoperative pleural effusion. The AUC for PAL was 0.823 (95% CI: 0.768-0.879). The AUC of postoperative pulmonary infection was 0.714 (95% CI: 0.627-0.801). The AUC of postoperative pleural effusion was 0.757 (95% CI: 0.650-0.864). The calibration curve and DCA curve indicated that the model had good predictive performance and clinical application value. Conclusions: This study analyzed the risk factors affecting the postoperative complications of NSCLC through thoracoscopic surgery, and the nomogram model built based on the influencing factors has certain significance for the identification and reduction of postoperative complications.

Prognostic significance of immunotherapy in postoperative recurrent non-small cell lung cancer without EGFR mutations or ALK rearrangements.

Background: Limited reports exist regarding postoperative recurrent non-small cell lung cancer (NSCLC) without major driver mutations [epidermal growth factor receptor (EGFR) mutations or anaplastic lymphoma kinase (ALK) rearrangements] treated with immune checkpoint inhibitors (ICIs) when programmed cell death ligand 1 (PD-L1) is expressed in a real-world setting. The aim of this study was to evaluate the effect of ICIs for those NSCLC. Methods: We enrolled 255 patients with postoperative recurrent NSCLC lacking EGFR mutations or ALK rearrangements who underwent lobectomy or more extensive resection between 2012 and 2021. Factors associated with post-recurrence survival (PRS) were determined using the Cox proportional hazards model. PRS was analyzed using Kaplan-Meier curves and compared using the log-rank test. Results: Multivariable analysis demonstrated that squamous cell carcinoma, pathological stage III, and an Eastern Cooperative Oncology Group (ECOG) performance status ≥2 were significantly associated with worse PRS. Conversely, ICI use at first line was associated with improved PRS. Patients who used ICIs during the first line and subsequent therapies had better PRS than those who received chemotherapy alone. Among patients who used ICIs, there was no significant difference in response rate at the first line, nor in PRS among those with PD-L1 expression ≥50%, 1-49%, and <1% in surgically resected specimens. Conclusions: ICI use at any treatment line improved the PRS of NSCLC patients without major driver mutations, irrespective of PD-L1 expression, in a real-world setting.

The prognostic impact of severe grade immune checkpoint inhibitor related pneumonitis in non-small cell lung cancer patients.

Objective: To compare the prognostic differences between non-small cell lung cancer (NSCLC) patients with mild and severe checkpoint inhibitor-associated pneumonitis (CIP), and explore the causes of death and prognostic risk factors in NSCLC patients with severe CIP. Methods: A retrospective study of a cohort of 116 patients with unresectable stage III or IV NSCLC with any grade CIP from April 2016 to August 2022 were conducted. To analyze the clinical characteristics of patients with different CIP grades, patients were divided into mild CIP group (grade 1-2, n=49) and severe CIP group (grade 3-5, n=67) according to the grade of CIP. To explore the OS-related risk factors in the severe CIP group, the patients were divided into a good prognosis (GP) group (≥ median OS, n=30) and a poor prognosis (PP) group (< median OS, n=37) based on whether their overall survival (OS) were greater than median OS. Baseline clinical and laboratory data were collected for analysis. Results: The median OS of all NSCLC patients combined with CIP was 11.4 months (95%CI, 8.070-16.100), The median OS for mild CIP and severe CIP was 22.1 months and 4.4 months respectively (HR=3.076, 95%CI, 1.904-4.970, P<0.0001). The results showed that the most common cause of death among severe CIP patients in the PP group was CIP and the most common cause in the GP group was tumor. The univariate regression analysis showed that suspension of antitumor therapy was a risk factor for poor prognosis (OR=3.598, 95%CI, 1.307-9.905, p=0.013). The multivariate logistic regression analysis showed that suspension of anti-tumor therapy (OR=4.24, 95%CI, 1.067-16.915, p=0.040) and elevated KL-6 (OR=1.002, 95%CI, 1.001-1.002, p<0.001) were independent risk factors for poor prognosis. Conclusion: In conclusion, patients with severe CIP had a poor prognosis, especially those with elevated KL-6, and the main cause of death is immune checkpoint inhibitor-associated pneumonitis complicated with infection. In addition, anti-tumor therapy for severe CIP patients should be resumed in time and should not be delayed for too long.

EGFR-TKIs - induced cardiotoxicity in NSCLC: incidence, evaluation, and monitoring.

The advent of targeted drug therapy has greatly changed the treatment landscape of advanced non-small cell lung cancer(NSCLC), but the cardioxic side effects of targeted drug anti-cancer therapy seriously affect the prognosis of NSCLC, and it has become the second leading cause of death in cancer patients. Therefore, early identification of the cardiotoxic side effects of targeted drugs is crucial for the prevention and treatment of cardiovascular diseases. The cardiotoxic side effects that may be caused by novel targeted drugs epidermal growth factor receptor inhibitors, including thromboembolic events, heart failure, cardiomyopathy, arrhythmia and hypertension, are discussed, and the mechanisms of their respective adverse cardiovascular reactions are summarized, to provide useful recommendations for cardiac management of patients with advanced lung cancer to maximize treatment outcomes for lung cancer survivors. Clinicians need to balance the risk-benefit ratio between targeted therapy for malignant tumors and drug-induced cardiotoxicity, and evaluate and monitor TKIs-induced cardiotoxicity through electrocardiogram, cardiac imaging, biomarkers, etc., so as to remove the susceptibility risk factors as soon as possible and provide a reference for the clinical use of such drugs in the treatment of malignant tumors.

Pulmonary function test-related prognostic models in non-small cell lung cancer patients receiving neoadjuvant chemoimmunotherapy.

Background: This study aimed to establish a comprehensive clinical prognostic risk model based on pulmonary function tests. This model was intended to guide the evaluation and predictive management of patients with resectable stage I-III non-small cell lung cancer (NSCLC) receiving neoadjuvant chemoimmunotherapy. Methods: Clinical pathological characteristics and prognostic survival data for 175 patients were collected. Univariate and multivariate Cox regression analyses, and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to identify variables and construct corresponding models. These variables were integrated to develop a ridge regression model. The models' discrimination and calibration were evaluated, and the optimal model was chosen following internal validation. Comparative analyses between the risk scores or groups of the optimal model and clinical factors were conducted to explore the potential clinical application value. Results: Univariate regression analysis identified smoking, complete pathologic response (CPR), and major pathologic response (MPR) as protective factors. Conversely, T staging, D-dimer/white blood cell ratio (DWBCR), D-dimer/fibrinogen ratio (DFR), and D-dimer/minute ventilation volume actual ratio (DMVAR) emerged as risk factors. Evaluation of the models confirmed their capability to accurately predict patient prognosis, exhibiting ideal discrimination and calibration, with the ridge regression model being optimal. Survival analysis demonstrated that the disease-free survival (DFS) in the high-risk group (HRG) was significantly shorter than in the low-risk group (LRG) (P=2.57×10-13). The time-dependent receiver operating characteristic (ROC) curve indicated that the area under the curve (AUC) values at 1 year, 2 years, and 3 years were 0.74, 0.81, and 0.79, respectively. Clinical correlation analysis revealed that men with lung squamous cell carcinoma or comorbid chronic obstructive pulmonary disease (COPD) were predominantly in the LRG, suggesting a better prognosis and potentially identifying a beneficiary population for this treatment combination. Conclusion: The prognostic model developed in this study effectively predicts the prognosis of patients with NSCLC receiving neoadjuvant chemoimmunotherapy. It offers valuable predictive insights for clinicians, aiding in developing treatment plans and monitoring disease progression.

Overexpression of NOP58 Facilitates Proliferation, Migration, Invasion, and Stemness of Non-small Cell Lung Cancer by Stabilizing hsa_circ_0001550.

BACKGROUND: NOP58 ribonucleoprotein (NOP58) is associated with the recurrence of lung adenocarcinoma. AIMS: Few investigations concentrate on the role of NOP58 in non-small cell lung cancer (NSCLC), which is the focus of our current study. METHODS: Following transfection, the proliferation, migration, and invasion of NSCLC cells were assessed by 5- ethynyl-2'-deoxyuridine (EdU), wound healing, and transwell assays. The percentage of CD9+ cells was evaluated by flow cytometry assay. Based on target genes and binding sites predicted through bioinformatics analysis, a dual-luciferase reporter assay was performed to verify the targeting relationship between hsa_circ_0001550 and NOP58. The effect of NOP58 overexpression on hsa_circ_0001550 stability was gauged using Actinomycin D. The hsa_circ_0001550 and NOP58 expression levels, as well as protein expressions of CD44, CD133, OCT4, and SOX2 in NSCLC cells were determined by quantitative real-time PCR and Western blot, respectively. RESULTS: Hsa_circ_0001550 was remarkably up-regulated in NSCLC cell lines A549 and PC9, silencing of which weakened cell abilities to proliferate, migrate and invade, decreased CD9+ cell ratio, and diminished protein expressions of CD44, CD133, OCT4, and SOX2. NOP58 could bind to hsa_circ_0001550 and stabilize its expression, and NOP58 overexpression partially abrogated hsa_circ_0001550 knockdown-inhibited NSCLC cell proliferation, migration, invasion and stemness. CONCLUSION: Overexpression of NOP58 facilitates proliferation, migration, invasion, and stemness of NSCLC cells by stabilizing hsa_circ_0001550, hinting that NOP58 is a novel molecular target for NSCLC therapy.

EGFR mutations induce the suppression of CD8+ T cell and anti-PD-1 resistance via ERK1/2-p90RSK-TGF-ß axis in non-small cell lung cancer.

BACKGROUND: Non-small cell lung cancer (NSCLC) patients with EGFR mutations exhibit an unfavorable response to immune checkpoint inhibitor (ICI) monotherapy, and their tumor microenvironment (TME) is usually immunosuppressed. TGF-ß plays an important role in immunosuppression; however, the effects of TGF-ß on the TME and the efficacy of anti-PD-1 immunotherapy against EGFR-mutated tumors remain unclear. METHODS: Corresponding in vitro studies used the TCGA database, clinical specimens, and self-constructed mouse cell lines with EGFR mutations. We utilized C57BL/6N and humanized M-NSG mouse models bearing EGFR-mutated NSCLC to investigate the effects of TGF-ß on the TME and the combined efficacy of TGF-ß blockade and anti-PD-1 therapy. The changes in immune cells were monitored by flow cytometry. The correlation between TGF-ß and immunotherapy outcomes of EGFR-mutated NSCLC was verified by clinical samples. RESULTS: We identified that TGF-ß was upregulated in EGFR-mutated NSCLC by EGFR activation and subsequent ERK1/2-p90RSK phosphorylation. TGF-ß directly inhibited CD8+ T cell infiltration, proliferation, and cytotoxicity both in vitro and in vivo, but blocking TGF-ß did not suppress the growth of EGFR-mutated tumors in vivo. Anti-TGF-ß antibody combined with anti-PD-1 antibody significantly inhibited the proliferation of recombinant EGFR-mutated tumors in C57BL/6N mice, which was superior to their monotherapy. Mechanistically, the combination of anti-TGF-ß and anti-PD-1 antibodies significantly increased the infiltration of CD8+ T cells and enhanced the anti-tumor function of CD8+ T cells. Moreover, we found that the expression of TGF-ß1 in EGFR-TKI resistant cell lines was significantly higher than that in parental cell lines. The combination of anti-TGF-ß and nivolumab significantly inhibited the proliferation of EGFR-TKI resistant tumors in humanized M-NSG mice and prolonged their survival. CONCLUSIONS: Our results reveal that TGF-ß expression is upregulated in NSCLC with EGFR mutations through the EGFR-ERK1/2-p90RSK signaling pathway. High TGF-ß expression inhibits the infiltration and anti-tumor function of CD8+ T cells, contributing to the "cold" TME of EGFR-mutated tumors. Blocking TGF-ß can reshape the TME and enhance the therapeutic efficacy of anti-PD-1 in EGFR-mutated tumors, which provides a potential combination immunotherapy strategy for advanced NSCLC patients with EGFR mutations.

The efficacy of almonertinib and anlotinib combination therapy for advanced non-small-cell lung cancer patients who continued to experience cancer progression during third-generation EGFR-TKI treatment: a retrospective study.

BACKGROUND: Epidermal growth factor receptor (EGFR) mutations are key drivers in a significant portion of non-small-cell lung cancer (NSCLC) patients. While third-generation EGFR-tyrosine kinase inhibitors (TKIs) such as osimertinib have demonstrated efficacy, the management of patients who continue to experience disease progression during treatment remains challenging. The emergence of drug resistance, including the development of secondary mutations, necessitates exploration of alternative treatment strategies. This study aims to evaluate and observe the efficacy and safety of almonertinib combined with anlotinib in patients after cancer progression during third-generation EGFR-TKI therapy. METHODS: In this retrospective analysis, we included EGFR-mutated NSCLC patients who were resistant to third-generation EGFR-TKIs. All patients were treated with almonertinib combined with anlotinib. The clinical characteristics, treatment history, clinical benefits, and adverse events of these patients were retrospectively collected. RESULTS: A total of 16 eligible patients were included in the analysis. The results revealed that combination therapy with almonertinib and anlotinib was effective in this patient cohort. The overall response rate was 25% and the disease control rate was 93.75%. The 6 and 12 months of PFS rates were 92.9% (95% confidence interval [CI] 80.3%, 100.0%) and 84.4% (95% CI 66.6%, 100.0%), respectively. Moreover, this combination therapy was generally well-tolerated, with manageable adverse events. CONCLUSION: Our retrospective analysis suggests that almonertinib and anlotinib combination therapy may represent a viable option for EGFR-mutated NSCLC patients who have progressed on third-generation EGFR-TKIs, especially for those with posterior lines and no standard treatment options. Further investigation and larger clinical trials are warranted to validate these observations and refine treatment guidelines.

Improved efficacy of cisplatin delivery by peanut agglutinin­modified liposomes in non­small cell lung cancer.

Globally, non­small cell lung cancer (NSCLC) is a significant threat to human health, and constitutes >80% of lung cancer cases. Cisplatin (CDDP), a commonly used drug in clinical treatment, has been the focus of research aiming to mitigate its potent toxicity through encapsulation within liposomes. However, challenges, such as a reduced drug loading efficiency and nonspecific release, have emerged as obstacles. The present study aimed to improve the encapsulation efficiency of CDDP within liposomes by pre­preparation of CDDP and modifying the liposome surface through the incorporation of peanut agglutinin (PNA) as a ligand [CDDP­loaded PNA­modified liposomes (CDDP­PNA­Lip)]. This strategy was designed to enhance the delivery of CDDP to tumour tissues, thereby reducing associated side effects. The effect of CDDP­PNA­Lip on the proliferation and migration of NSCLC cell lines with high MUC1 expression was elucidated through in vitro studies. Additionally, the capacity of PNA modification to augment the targeted anti­tumour efficacy of liposomes was assessed through xenograft tumour experiments. The results indicated that in an in vitro uptake assay Rhodamine B (RhB)­loaded PNA­modified liposomes were taken up by cells with ~50% higher efficiency compared with free RhB. In addition, CDDP­PNA­Lip resulted in a 2.65­fold enhancement of tumour suppression in vivo compared with free CDDP. These findings suggested that the encapsulation of CDDP within ligand­modified liposomes may significantly improve its tumour­targeting capabilities, providing valuable insights for clinical drug development.

Mesorectal thromboembolism with increased 18F-fluorodeoxyglucose uptake during positron emission tomography/computed tomography in a patient with non-small cell lung cancer.

This study presents a case of a 72-year-old man diagnosed with non-small cell lung cancer (cT4N0M0) referred to our hospital for possible surgical treatment of a solitary nodule detected in the mesorectum. The patient had received combined chemoradiotherapy and achieved a complete response 13 months before the presentation. On examination, the mesorectal nodule was incidentally detected during surveillance computed tomography, and the maximum standardized uptake value of the nodule was 10.3. Because of the potential malignancy and need for en-bloc resection of the nodule, we performed laparoscopically assisted high anterior resection of the rectum. The postoperative course was uneventful. Notably, while pathological examination revealed that the mesorectal nodule comprised an intravenous organized thromboembolism, malignancy was not observed. These findings suggest that although positron emission tomography/computed tomography with 18F-fluorodeoxyglucose is useful for the diagnosis of malignant diseases, surgical resection might be the most reliable option for complex cases such as ours.

LncRNA FEZF1-AS1 facilitates cisplatin resistance in non-small cell lung cancer through modulating the miR-32-5p-glutaminase axis.

Non-small cell lung cancer (NSCLC) is one of the prevalent malignancies. Cisplatin (CDDP) is a conventional chemotherapeutic agent against NSCLC. However, inherent and acquired chemoresistance limited the effectiveness of cisplatin in treatment of NSCLC. This study aimed to investigate the roles and underlying mechanisms of lncRNA-FEZF1-AS1 in mediating cisplatin sensitivity in NSCLC. We found that FEZF1-AS1 levels were significantly higher in lung cancer patients and cell lines. Blocking FEZF1-AS1 sensitized lung cancer cells to cisplatin. Additionally, both glutamine metabolism and FEZF1-AS1 were significantly elevated in cisplatin resistant NSCLC cell lines, A549/CDDP R and SK-MES-1 CDDP/R. Analysis using bioinformatics, RNA pull-down assay and luciferase assay demonstrated that FEZF1-AS1 sponged miR-32-5p, which acted as a tumor suppressor in NSCLC. Glutaminase (GLS), a key enzyme in the glutamine metabolism, was predicted and validated as the direct target of miR-32-5p in NSCLC cells. Inhibiting glutamine metabolism or reducing glutamine supply effectively resensitized cisplatin-resistant cells. Furthermore, restoring miR-32-5p in FEZF1-AS1-overexpressing cisplatin resistant cells successfully overcame FEZF1-AS1-mediated cisplatin resistance by targeting GLS. These findings were further supported by in vivo xenograft mice experiments. This study uncovered the roles and molecular mechanisms of lncRNA FEZF1-AS1 in mediating cisplatin resistance in NSCLC, specifically through modulating the miR-32-5p-GLS axis, providing support for the development of new therapeutic approaches against chemoresistant lung cancer.

Expression of CXCL8 and its relationship with prognosis in patients with non-small cell lung cancer.

To determine the expression of chemokine 8 (CXCL8) in non-small cell lung cancer (NSCLC) patients and analyze its correlation with tumor characteristics and patient prognosis. We conducted a retrospective analysis of 149 NSCLC patients treated between January 2016 and April 2018, measuring serum CXCL8 expression upon admission or prior to treatment. The clinical characteristics, including lymph node metastasis and staging, based on CXCL8 expression levels, were analyzed. Receiver Operating Characteristic (ROC) curves was drawn to assess its predictive value for lymph node metastasis and staging in NSCLC patients. Furthermore, the Kaplan-Meier curve was plotted to assess the impact of CXCL8 on 5-year survival in NSCLC Patients. NSCLC patients exhibited significantly higher serum CXCL8 levels than those with benign tumors (P<0.001), with the high CXCL8 expression group showing a higher incidence of lymph node metastasis or stage III NSCLC (P<0.01). CXCL8 was identified as an independent predictor of lymph node metastasis (AUC=0.730) and higher TNM stage (AUC=0.708), as well as a validated biomarker for predicting five-year survival in NSCLC patients. This study highlights the strong association between CXCL8 expression in NSCLC and patient prognosis, particularly regarding lymph node metastasis and clinical staging, suggesting the need for further research to explore CXCL8's specific role in the tumor microenvironment and its impact on different NSCLC subtypes.

Value of prognostic nutritional index and controlling nutritional status score for advanced non-small cell lung cancer patients receiving PD-1 inhibitors.

OBJECTIVE: To explore the value of preoperative prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score in predicting response and prognosis of patients with advanced non-small cell lung cancer (NSCLC) receiving programmed cell death protein 1 (PD-1) inhibitors. METHODS: A retrospective study was conducted in patients who received PD-1 inhibitors for advanced NSCLC. Patients were assigned by immunotherapy effects into response (partial and complete response, pCR) group (n=52) and non-response (non-pCR) group (n=132). The pathological and clinical data were collected for statistical analysis of factors influencing the immunotherapeutic response. The diagnostic value of PNI and CONUT score for response was assessed. The overall survival (OS) was observed over a 3-year follow-up. COX regression analysis was performed to identify risk factors affecting the survival. The effects of different PNI and CONUT scores on the survival were observed. RESULTS: Multivariate regression analysis showed that, the tumor-node-metastasis (TNM) stage (P=0.001), PNI (P<0.001), and CONUT score (P<0.001) were associated with response. The non-pCR group had a higher 3-year mortality rate and a shorter 3-year OS than the pCR group (P<0.001). COX regression analysis showed that low PNI and high CONUT score were risk factors for poor prognosis. Further analysis showed that patients with low PNI and high CONUT score had lower 3-year survival rates (P=0.005, P<0.001). CONCLUSION: High TNM stage, PNI<50, and CONUT score ≥5 are risk factors for poor response in patients with advanced NSCLC receiving PD-1 inhibitors, and low PNI and high CONUT score suggest poor prognosis.

Establishment and verification of a predictive model for bone metastasis in patients with non-small cell lung cancer based on peripheral blood CX3CL and CCL28.

To establish a predictive model of bone metastasis in patients with non-small cell lung cancer (NSCLC) using peripheral blood CX3CL and CCL28, and to verify its application value. We retrospectively gathered clinical data from 210 patients with NSCLC treated at our institution between April 2021 and December 2023. These patients were stratified into two groups based on the presence of bone metastases: a bone metastasis group (n = 49) and a non-bone metastasis group (n = 161). A logistic regression model was developed to predict bone metastasis and to evaluate the model's predictive performance. Multivariate logistic regression analysis identified age (OR = 6.689, P < 0.001), carcinoembryonic antigen (CEA, OR = 5.699, P < 0.001), CX3CL1 (OR = 5.418, P < 0.001), and CCL28 (OR = 7.692, P < 0.001) as independent predictors of bone metastasis in NSCLC patients. The receiver operating characteristic (ROC) curve analysis yielded an area under the curve (AUC) of 0.794 for both the modeling and validation cohorts. Decision curve analysis (DCA) indicated a superior net benefit of the model. Calibration curves confirmed close concordance between predicted and observed probabilities of bone metastasis. The Hosmer-Lemeshow test yielded a chi-square statistic of 4.743 with a P-value of 0.178, suggesting a good fit. The predictive model utilizing serum levels of CX3CL1 and CCL28 demonstrates robust predictive accuracy and efficacy for bone metastasis in patients with NSCLC.