The latest medical research on Lung Cancer

The research magnet gathers the latest research from around the web, based on your specialty area. Below you will find a sample of some of the most recent articles from reputable medical journals about lung cancer gathered by our medical AI research bot.

The selection below is filtered by medical specialty. Registered users get access to the Plexa Intelligent Filtering System that personalises your dashboard to display only content that is relevant to you.

Want more personalised results?

Request Access

Y Reverse: Modified technique in challenging airway management.

Thoracic Cancer

Self-expanding Y-metal stents (SEMS) are best suited lesions with involvement of the carina and proximal main bronchi; however, Y-stents can be difficult to place. These difficulties guided us to develop a modification of the classic technique that addresses some of the challenges during positioning. We present the Y reverse technique for Y stent insertion using a combination of rigid and flexible bronchoscopy.

patients in which the length of the stenosis of the right bronchi was greater than that of the left bronchi, advanced oncological conditions, severe respiratory failure; exclusion criteria: Karnofsky scale with <40 points. All patients were admitted to the hospital and treated with Y-stent insertion using the modified technique Y reverse.

The comparison between the group undergoing the Y reverse technique with the group undergoing the traditional positioning of the Y prosthesis has shown an improvement in respiratory function; prolongation of the mean survival time; improvement in SpO2 in spontaneous breathing; reduction mean time procedure. p < 0.05 was considered as statistically significant.

Y Reverse is a safe and effective procedure that provides rapid symptom relief in individuals who have critical central airway obstruction near the distal portion of the trachea, carina, and main right and left bronchi.

Establishing a predictive model for tumor mutation burden status based on 18F-FDG PET/CT and clinical features of non-small cell lung cancer patients.

Translational Lung Cancer Research

Tumor mutation burden (TMB) has emerged as a promising biomarker for immune checkpoint inhibitors (ICI) response, but its detection through whole exome sequencing (WES) is costly and invasive. This study aims to establish a predictive model for TMB using baseline metabolic parameters (MPs) of 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT) and clinical features in non-small cell lung cancer (NSCLC) patients, potentially offering a non-invasive and cost-effective method to predict TMB status.

A total of 223 NSCLC patients with baseline 18F-FDG PET/CT scans and TMB detection results were retrospectively enrolled from January 2019 to September 2023, and were divided into two groups: TMB-high (≥4 mutations/Mb, 96 patients) and TMB-low (<4 mutations/Mb, 127 patients). Twelve clinical features and five PET parameters were assessed. Univariate analysis was conducted in all patients to reveal the preliminary associations between variables and TMB status. All patients were randomly divided into a training set (n=135) and a validation set (n=88). Feature selection was performed using lasso regression and logistic regression analyses. A predictive model and nomogram were established with the features selected above. Decision curve analysis (DCA) was performed to assess the clinical utility of the developed model.

Two clinical features and two PET parameters were identified through lasso regression and logistic regression analysis including pathology type, cancer antigen 125 (CA125) level, maximum standardized uptake value (SUVmax), and metabolic tumor volume (MTV). The predictive model exhibited an area under the curve (AUC) of 0.822 [95% confidence interval (CI), 0.751-0.894], and internal validation yielded an AUC of 0.822 (95% CI, 0.731-0.912). The model was well-calibrated. The developed nomogram, incorporating the four selected variables, showed promising potential in evaluating TMB status in NSCLC patients.

In this study, a predictive model combining 18F-FDG PET/CT and clinical features of NSCLC patients effectively distinguished between TMB-high and TMB-low status. The nomogram generated from this model holds significant promise for predicting TMB status, offering valuable insights for clinical decision-making.

Establishment of a survival predictive model for patients with two synchronous multiple primary lung cancers: a multicenter cohort analysis.

Translational Lung Cancer Research

The prognostic predictors of the synchronous multiple primary lung cancer (SMPLC) still remain unclear, and there is a lack of studies on the prognosis of SMPLC patients excluding those with multifocal ground-glass/lepidic (GG/L) nodules. The aim of this study is to develop an effective model for predicting survival of SMPLC patients.

In this multicenter cohort study, a total of 831 SMPLC patients presenting for lung cancer resection from January 2004 to January 2018 at five institutions were included for developing and validating a nomogram model. Specifically, 499 patients from the Cancer Hospital, Chinese Academy of Medical Sciences, and Beijing Chao-Yang Hospital, Capital Medical University were served as the training cohort. A total of 332 patients from The Third Xiangya Hospital of Central South University, the First Affiliated Hospital of University of Science and Technology of China, and Beijing Liangxiang Hospital were served as the external validation cohort. The nomogram model was compared with the Tumor Node Metastasis (TNM) system for the overall survival. The C-index, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model performance. A user-friendly website for SMPLC survival probability calculation was also provided for a better understanding of prognosis of patients with resected SMPLC.

A total of seven independent risk factors were selected by conducting a multivariate analysis on the training set. Further, a nomogram model was developed with these factors. Both the internal and external validations exhibited good discrimination (C-index: internal, 0.827; external, 0.784). The NRI and IDI of this model were 0.33 and 0.21, respectively. The survival rates for 1-year, 3-year, and 5-year were consistent with the actual observed values. A set of cutoff values were determined by grouping the patients into three different groups. For each group, we should expect a significant distinction between survival curves.

The novel nomogram model enables accurate survival risk stratification of patients with resected SMPLC and may assist in decision-making that is conducive to patients with SMPLC at high risk.

Double immune checkpoint inhibitor therapy for unresectable pleural mesothelioma rarely induces hyperprogressive disease: a case report.

Translational Lung Cancer Research

Use of immune checkpoint inhibitors (ICIs) is associated with new response types, such as hyperprogressive disease (HPD), whose definition is still being discussed. Some authors use dynamic indexes to define HPD. However, since the Checkmate-743 study, ICIs have been a first-line therapy for pleural mesothelioma (PM), thereby making use of dynamic indexes less appropriate. The aim of this study is to describe two cases of HPD and then discuss its definitions and implications.

Herein, we report two cases of PM HPD on first-line ICI therapy. A 67-year-old man with right unresectable epithelioid PM, without BAP1 or CDKN2A losses, high neutrophil/lymphocyte ratio and rapid-onset pulmonary and mediastinal HPD after two ICI cycles, died of respiratory failure 1 month after starting treatment. A 40-year-old woman with left unresectable epithelioid PM had HPD at first assessment after 4 ICI infusions with jugular thrombosis, liver metastases and more dismal biological parameters. There are multiple different ways to describe HPD, some not applicable to PM. Suspected mechanisms include macrophage reprogramming to M2 cells. There are no known predictive factors of HPD, and future works should focus on identifying them.

HPD is a mode of progression for ICI-treated PM patients. Further investigation is needed to better define and anticipate HPD in these patients.

Effect of laterality on the postoperative survival of non-small cell lung cancer patients undergoing pneumonectomy.

Translational Lung Cancer Research

Pneumonectomy is one of the important surgical methods for non-small cell lung cancer (NSCLC). This study evaluated the effects of laterality on the short- and long-term survival of NSCLC patients undergoing pneumonectomy.

We reviewed the Surveillance, Epidemiology, and End Results database to retrieve the data of patients who underwent pneumonectomy for stage I-III NSCLC from 2004 to 2015. Propensity score matching (PSM) was used to reduce the selection bias. Logistic regression was used to analyze the correlation between laterality and mortality at 3, 6, and 9 months. The Kaplan-Meier curve was used to further assess the effect of laterality on overall survival (OS).

A total of 4,763 patients met the enrollment criteria [right-sided, 1,988 (41.7%); left-sided, 2,775 (58.3%)]. After PSM, 1,911 patients for each side were included in the further analysis. The first 6 months following pneumonectomy was the main period of death, with 32.0% (428/1,336) and 19.9% (250/1,258) of right- and left-sided deaths occurring during this period. The logistic regression analysis showed that right-sided pneumonectomy was an independent risk factor for 3- (P<0.001) and 6-month (P<0.001) mortality. However, laterality had no significant effect on postoperative death at 7-9 months (P=0.82). In the total cohort, right-sided patients had worse OS (P<0.001), but the subgroup survival analysis of patients with a follow-up period >6 months revealed that laterality had no statistically significant effect on OS (P=0.75).

Right-sided pneumonectomy was associated with a higher perioperative mortality risk that lasted about 6 months. After that period, laterality was not observed to have a significant prognostic effect on the OS of patients undergoing pneumonectomy.

Stem-like exhausted CD8 T cells in pleural effusions predict improved survival in non-small cell lung cancer (NSCLC) and mesothelioma.

Translational Lung Cancer Research

Anti-tumor CD8 T cells are important for immunity but can become 'exhausted' and hence ineffective. Tumor-infiltrating exhausted CD8+ T cells include less differentiated stem-like exhausted T (Texstem) cells and terminally exhausted T (Texterm) cells. Both subsets have been proposed as prognostic biomarkers in cancer patients. In this study, we retrospectively investigated their prognostic significance in patients with metastatic non-small cell lung cancer (NSCLC) and validated our findings in a mesothelioma cohort.

Pre-treatment malignant pleural effusions (PEs) from 43 NSCLC (41 non-squamous, 2 squamous) patients were analyzed by flow cytometry. The percentages of Texstem and Texterm CD8 T cells were correlated with overall survival (OS) after adjusting for clinicopathological variables. Findings were validated using a mesothelioma cohort (n=49). Mass cytometry was performed on 16 pre-treatment PE samples from 5 mesothelioma and 3 NSCLC patients for T-cell phenotyping. Single-cell multi-omics analysis was performed on 4 pre-treatment PE samples from 2 NSCLC patients and 2 mesothelioma patients for analysis of the transcriptomic profiles, surface markers and T cell receptor (TCR) repertoire.

Higher frequency of Texstem was associated with significantly increased OS [median 9.9 vs. 3.4 months, hazard ratio (HR) 0.36, 95% CI: 0.16-0.79, P=0.01]. The frequency of Texterm was not associated with OS. These findings were validated in the mesothelioma cohort (high vs. low Texstem, median OS 32.1 vs. 19.8 months, HR 0.31, 95% CI: 0.10-0.96, P=0.04). Detailed single-cell sequencing and mass cytometry profiling revealed that exhausted T cells from NSCLC expressed greater stem-likeness and less inhibitory markers than those from mesothelioma and that Texstem cells also contained 'bystander' virus-specific T cells.

This study demonstrates that PE CD8 Texstem cell abundance is associated with better survival outcomes, and thus may be a useful prognostic biomarker.

Serum tumor markers and outcomes in lung cancer patients with brain metastases: a retrospective longitudinal cohort study.

Translational Lung Cancer Research

Serum tumor markers (STMs) are recommended for cancer diagnosis and surveillance. However, their role in lung cancer with brain metastases (BM) is not yet clear. We aim to analyze the roles of baseline levels of STMs or ongoing STM surveillance on survival.

This retrospective longitudinal cohort study included 1,169 lung cancer patients with BM. The STM data during disease course were collected. Distinct trajectory groups were identified using the latent class growth mixed model (LCGMM). The roles of STMs on survival were further analyzed using Kaplan-Meier analysis and Cox proportional hazard models.

Serum levels of cytokeratin-19 fragment (CYFRA21-1) (P<0.001), carcinoembryonic antigen (CEA) (P=0.005) and neuron-specific enolase (NSE) (P<0.001) at baseline exhibited significant correlation with overall survival (OS) of patients with BM, serving as independent prognostic factors. Further analysis indicated that baseline CYFRA21-1, CEA, NSE as well as status of key driver genes were independent prognostic factors in non-small cell lung cancer (NSCLC) patients with BM, while for small cell lung cancer (SCLC) patients with BM, baseline NSE and receiving chemotherapy show independent correlations with survival. Furthermore, we delineated the dynamic trajectories of STMs based on changes in disease course. More specifically, compared to those showing a baseline-high trend in CEA levels, the survival of patients with either persistently-rising or consistently normal levels seemed to be more promising. For CYFRA21-1, both early-rising and later-rising trends were observed, indicating a prognosis inferior to that of individuals with normal-level trajectory. Likewise, for NSE, patients with persistently-rising or persistently-descending trends showed no significantly survival difference. However, in comparison with the status of driver genes, receiving radiotherapy and targeted therapy, the dynamic changes in STM levels lacked independent prognostic significance. Further analysis indicated that among BM patients lacking key driver genes, NSE trajectory (P<0.05), CYFRA21-1 trajectory (P<0.05) and receiving chemotherapy (P<0.001) were independent prognostic factors.

Baseline levels of serum CYFRA21-1, CEA and NSE, as well as status of key driver genes are recommended for evaluating BM patients' outcome. Dynamic changes of STMs during disease course were not significantly associated with the final outcome of BM patients.

TRIM27 revealing by tumor educated platelet RNA-sequencing, as a potential biomarker for malignant ground-glass opacities diagnosis mediates glycolysis of non-small cell lung cancer cells partially through HOXM1.

Translational Lung Cancer Research

Efficient ground-glass opacities (GGOs) diagnosis is challenging. A diagnostic method distinguishing malignant from benign GGOs is warranted. In this study, we sought to construct a noninvasive method based on tumor educated platelet (TEP) RNA profiles for malignant GGOs diagnosis and explore the molecular mechanism of the potential biomarker for the first time.

Based on TEP RNA-sequencing (TEP RNA-seq) in benign and malignant GGOs, a classification model was constructed using differentially expressed genes (DEGs) and was used to evaluate diagnostic performance. High-throughput quantitative polymerase chain reaction (HT-qPCR) verified 23 genes selected from the top 60 DEGs between benign and malignant GGOs. The correlation between 17 verified DEGs and 22 key glycolytic genes was analyzed. Tripartite motif-containing 27 (TRIM27) overexpressing and knockdown (KD) cell models were constructed using A549 and PC-9 cells, respectively in which cell growth, apoptosis, migration and invasion were evaluated. The protein levels of HK-1/2, PKM1/2, LDHA and GLUT1 were evaluated by western blot. Glycolysis was evaluated through adenosine triphosphate (ATP), reactive oxygen species (ROS), lactate acid (LD) production, glucose uptake, and lactate dehydrogenase (LDH) activity assays. RNA-seq was performed in loss-of TRIM27-KD PC-9 cells to clarify the downstream factors of TRIM27 which was verified using western blot and immunofluorescence double staining.

In 81 samples, the 1,647-DEG-based classification model exhibited area under the curve (AUC), sensitivity, and specificity values of 0.99 [95% confidence interval (CI): 0.972-1.000], 100%, and 91%, respectively, while the top 60-DEG-based classification model exhibited AUC, sensitivity, and specificity values of 0.986 (95% CI: 0.962-1.000), 98%, and 91%, respectively. TRIM27 achieved AUC of 0.87 in the diagnosis of malignant GGOs, with 83.93% sensitivity, 78.79% specificity, 81.15% accuracy, 77.05% positive predictive value (PPV) and 85.25% negative predictive value (NPV). TRIM27 was highly expressed in non-small cell lung cancer (NSCLC) cells, and accelerated cell migration and invasion. In addition, TRIM27 was found to promote glycolysis in NSCLC cells partially through HMOX1 which was negatively correlated with TRIM27.

We constructed a novel TEP RNA-seq based classifier for malignant GGOs diagnosis. TRIM27, an important target discovered, could accelerate migration, invasion and regulate glycolysis partially through HMOX1 in NSCLC cells, thus providing scientific support for TRIM27 as a diagnostic biomarker for malignant GGO diagnosis.

Prognostic value of circulating proteins at diagnosis among patients with lung cancer: a comprehensive analysis by smoking status.

Translational Lung Cancer Research

Improved prediction of prognosis among lung cancer patients could facilitate better clinical management. We aimed to study the prognostic significance of circulating proteins at the time of lung cancer diagnosis, among patients with and without smoking history.

We measured 91 proteins using the Olink Immune-Oncology panel in plasma samples that were collected at diagnosis from 244 never smoking and 742 ever smoking patients with stage I-IIIA non-small cell lung cancer (NSCLC). Patients were recruited from nine centres in Russian Federation, Poland, Serbia, Czechia, and Romania, between 2007-2016 and were prospectively followed through 2020. We used multivariable Survey-weighted Cox models to assess the relationship between overall survival and levels of proteins by adjusting for smoking, age at diagnosis, sex, education, alcohol intake, histology, and stage.

The 5-year survival rate was higher among never than ever smoking patients (63.1% vs. 46.6%, P<0.001). In age- and sex-adjusted survival analysis, 23 proteins were nominally associated with overall survival, but after adjustment for potential confounders and correcting for multiple testing, none of the proteins showed a significant association with overall survival. In stratified analysis by smoking status, IL8 [hazard ratio (HR) per standard deviation (SD): 1.40, 95% confidence interval (CI): 1.18-1.65, P=1×10-4] and hepatocyte growth factor (HGF) (HR: 1.45, 95% CI: 1.18-1.79, P=5×10-4) were associated with survival among never smokers, but no protein was found associated with survival among ever smokers. Integrating proteins into the models with clinical risk factors did not improve the predictive performance of NSCLC prognosis [C-index of 0.63 (clinical) vs. 0.64 (clinical + proteins) for ever smokers, P=0.20; C-index of 0.68 (clinical) vs. 0.72 (clinical + proteins) for never smokers, P=0.28].

We found limited evidence of a potential for circulating immune- and cancer-related protein markers in lung cancer prognosis. Whereas some specific proteins appear to be uniquely associated with lung cancer survival in never smokers.

Ten-year survival outcomes of video-assisted thoracic surgery vs. open major lung resection for stage I-III non-small cell lung cancer: a large cohort study in China.

Translational Lung Cancer Research

Despite the widespread adoption of video-assisted thoracoscopic surgery (VATS) for major lung resection, the 10-year long-term survival outcomes of non-small cell lung cancer (NSCLC) treated with VATS compared with open major lung resection is lacking. The purpose of this study was to analyze the short- and long-term outcomes of VATS vs. open major lung resection for NSCLC.

The perioperative outcomes and long-term survival of p-stage I-III NSCLC patients who underwent major lung resection via VATS vs. open major lung resection in the Western China Lung Cancer Database (WCLCD) between May 2006 and June 2018 were studied using propensity score matching (PSM).

Of the 10,167 patients who underwent surgery for lung malignancies, 6,405 patients with stage I-III NSCLC were included in the study, including 4,224 in the VATS group and 2,181 in the open group. PSM resulted in 1,487 patients in both the VATS and open groups. The patients were matched by patient demographics, Charlson comorbidity index (CCI), tumor histology and TNM stage. Compared with open surgery, major lung resection via VATS resulted in less blood loss (median: 50 vs. 100 mL, P<0.001) and a shorter postoperative hospital stay (7.6±6.0 vs. 8.6±4.9 days, P<0.001) but higher total hospital costs (52.5±21.2 vs. 45.0±16.4 kRMB, P<0.001). The matched cohort showed that patients who underwent major lung resection via VATS had better overall survival (OS) and recurrence-free survival (RFS) than did patients who underwent major lung resection via open surgery (5-year survival: 64.9% vs. 57.7%, P<0.001; 5-year RFS: 50.3% vs. 45.3%, P=0.003). Patients who underwent VATS had a better 10-year OS rate (47.8% vs. 42.6%). According to the subgroup analysis, patients with stage II NSCLC who underwent major lung resection via VATS had better OS and RFS (OS: P<0.001; RFS: P=0.004), while there were no significant differences in OS or RFS between stage I and III NSCLC patients.

Major lung resection via the VATS should be the preferred surgical option for stage I-III NSCLC patients due to its superior long-term survival outcome and advantages of less blood loss and shorter postoperative hospital stays.

Tremelimumab and durvalumab with chemotherapy in first-line treatment for metastatic non-small cell lung cancer: a US-based cost-effectiveness analysis.

Translational Lung Cancer Research

While the tremelimumab plus durvalumab combined with chemotherapy (T + D + CT) has shown promise in treating epidermal growth factor receptor/anaplastic lymphoma kinase (EGFR/ALK) wild-type metastatic non-small cell lung cancer (mNSCLC), particularly in patients with low or no programmed cell death ligand 1 (PD-L1) expression, the economic implications of its high cost remain poorly understood. This study fills a critical gap in knowledge by evaluating the cost-effectiveness of T + D + CT from a US health care perspective, offering valuable insights for clinical and policy decision-making.

A 10-year Markov model was crafted to track the disease progression, survival, and treatment-related toxicities of a patient cohort with EGFR/ALK wild-type mNSCLC. Transition probabilities were derived from the POSEIDON trial, while health state utilities were obtained from the literature. Cost data, including drug acquisition and administration, subsequent anticancer therapies, and adverse event management were estimated using the Centers for Medicare and Medicaid Services and the Healthcare Cost and Utilization Project databases, with additional costs sourced from current literature. All cost and effectiveness measures were discounted at an annual rate of 3%. The model's robustness was assessed through deterministic sensitivity analysis (DSA), probabilistic sensitivity analysis (PSA), and scenario analysis.

T + D + CT compared to chemotherapy alone yielded incremental cost-effectiveness ratios (ICERs) of $370,208 to $691,960 per quality-adjusted life-year (QALY) gained, exceeding the standard willingness-to-pay (WTP) threshold of $100,000 to $150,000 per QALY. Against durvalumab plus chemotherapy, T + D + CT was only cost-effective in all subgroups. DSA results for patients with PD-L1 expression <1% showed that the ICER for first-line T + D + CT remained above the WTP threshold range, even with substantial changes to model inputs. PSA revealed a higher likelihood of T + D + CT being cost-effective as WTP thresholds increased. Scenario analysis confirmed the study's primary findings, with the exception of a scenario where durvalumab was offered at no cost.

The findings suggests that T + D + CT may not be a cost-effectiveness first-line treatment for EGFR/ALK wild-type mNSCLC in the US, given its high ICERs and limited cost-effectiveness in the majority of PD-L1 expression subgroups.

TFAP2A-activated ITGB4 promotes lung adenocarcinoma progression and inhibits CD4+/CD8+ T-cell infiltrations by targeting NF-κB signaling pathway.

Translational Lung Cancer Research

Immune-associated genes play vital roles in the tumorigenesis, progression and immunotherapy responses of malignant tumors. This study aimed to comprehensively evaluate the role and mechanism of novel immune-associated gene integrin β4 (ITGB4) in the progression and immune microenvironment of lung adenocarcinoma (LUAD).

There were 770 immune-associated genes curated from NanoString PanCancer Immune Profiling Panel. Differentially expressed immune-related genes were initially screened using transcriptome data from 57 paired LUAD samples in The Cancer Genome Atlas (TCGA) and 15 paired LUAD samples in GSE31210, and were further validated in 19 paired LUAD samples from our institution. Log-rank test was adopted to identify LUAD prognosis associated genes. Among the identified differentially expressed genes, ITGB4 was ultimately chosen for further analysis. Subsequently, the functionality and mechanisms of ITGB4 were investigated in two LUAD cell lines, A549 and PC9, which exhibited relatively high expression levels of ITGB4. Following this, the impact of ITGB4 on the proliferation and metastasis of LUAD in vivo was evaluated using nude mice. Additionally, its effect on T cell infiltration was studied using immunocompetent C57BL/6J mice.

ITGB4 was found to be significantly up-regulated in LUAD and associated with an unfavorable prognosis. Functionally, ITGB4 could promote LUAD cell proliferation, migration and invasion. Consistently, in vivo experiments demonstrated that ITGB4 knockdown suppressed LUAD tumor growth and metastasis. Additionally, ITGB4 could suppress CD4+ and CD8+ T-cell infiltrations in LUAD cells. Mechanistically, ITGB4 could activate the NF-κB signaling pathway by interacting with IκBα. Furthermore, TFAP2A could directly bind to the ITGB4 promoter and transcriptionally activate ITGB4 in LUAD cells. In addition, laminin-5, a ligand of ITGB4, was found to promote LUAD progression by activating the ITGB4 signaling.

ITGB4 was transcriptionally activated by TFAP2A, and could promote LUAD progression and inhibit CD4+/CD8+ T-cell infiltrations by activating the NF-κB signaling pathway. ITGB4 may serve as a potential immunotherapeutic target of LUAD.