Immunotherapy and Overall Survival Among Patients With Advanced Non-Small Cell Lung Cancer and Obesity.

IMPORTANCE: The association between obesity and response to cancer treatment and survival remains unclear, with conflicting findings from various studies. The optimal choice between conventional chemotherapy and immunotherapy for first-line treatment remains uncertain in patients with obesity who potentially have an inadequate therapeutic response to immunotherapy. OBJECTIVE: To investigate whether body mass index (BMI) modifies the association of immunotherapy or conventional therapy with overall survival in patients with advanced non-small cell lung cancer (aNSCLC). DESIGN, SETTING, and PARTICIPANTS: A retrospective cohort study, using administrative claims data obtained from advanced treatment centers in Japan, was conducted between December 1, 2015, and January 31, 2023. Participants included individuals aged 18 years or older with aNSCLC who received immunotherapy, using immune checkpoint inhibitor (ICI) treatment or conventional chemotherapy. EXPOSURE: Immune checkpoint inhibitor therapy as first-line chemotherapy was compared with conventional chemotherapy, identified through patient medical records. MAIN OUTCOMES AND MEASURES: The main outcome was overall survival. Survival analysis covered a 3-year follow-up period after the first-line chemotherapy. RESULTS: A total of 31 257 patients with aNSCLC were identified. Of these, 12 816 patients received ICI therapy (mean [SD] age, 70.2 [9.1] years; 10 287 [80.3%] men) and 18 441 patients received conventional chemotherapy (mean [SD] age, 70.2 [8.9] years; 14 139 [76.7%] men). Among patients with BMI less than 28, ICI therapy was associated with a significantly lower hazard of mortality (eg, BMI 24: hazard ratio [HR], 0.81; 95% CI, 0.75-0.87) compared with those who underwent conventional chemotherapy. However, no such association was observed among patients with BMI 28 or greater (eg, BMI 28: HR, 0.90; 95% CI, 0.81-1.00). CONCLUSIONS AND RELEVANCE: The findings of this retrospective cohort study suggest that BMI modifies the association of ICI therapy compared with conventional chemotherapy with overall survival in patients with aNSCLC. A lack of association between ICI therapy and improved survival in patients with aNSCLC and overweight or obesity compared with conventional chemotherapy was observed. This suggests that ICI therapy may not be the optimal first-line therapy for patients with overweight or obesity and the use of conventional chemotherapy should also be considered in such patients.

Lung Cancer Adoptive Cell Therapy: Inspiring TIL ACT Comes Center Stage.

Schoenfeld and colleagues report, in this issue, a measurable objective response rate in 6/28 (21.4%) of patients with advanced non-small cell lung cancer treated with lifileucel, a cell therapy product based on autologous tumor-infiltrating lymphocytes (TIL). Extending solid evidence in advanced melanoma that led to FDA approval of lifileucel, this new evidence bodes well for treating patients with other common tumor histologies, justifying important efforts by a large number of academic and biotechnology companies engaged in improving the TIL process. See related article by Schoenfeld et al., p. 1389 (1).

Spatial profiling of non-small cell lung cancer provides insights into tumorigenesis and immunotherapy response.

Lung cancer is the second most common cancer worldwide and a leading cause of cancer-related deaths. Despite advances in targeted therapy and immunotherapy, the prognosis remains unfavorable, especially in metastatic cases. This study aims to identify molecular changes in non-small cell lung cancer (NSCLC) patients based on their response to treatment. Using tumor and matched immune cell rich peritumoral tissues, we perform a retrospective, comprehensive spatial transcriptomic analysis of a proven malignant NSCLC sample treated with immune checkpoint inhibitor (ICI). In addition to T cells, other immune cell types, such as B cells and macrophages, were also activated in responders to ICI treatment. In particular, B cells and B cell-mediated immunity pathways are consistently found to be activated. Analysis of the histologic subgroup (lung squamous cell carcinoma, LUSC; lung adenocarcinoma, LUAD) of NSCLC also confirms activation of B cell mediated immunity. Analysis of B cell subtypes shows that B cell subtypes were more activated in immune cell-rich tissues near tumor tissue. Furthermore, increased expression of B cell immunity-related genes is associated with better prognosis. These findings provide insight into predicting ICI treatment responses and identifying appropriate candidates for immunotherapy in NSCLC patients.

CD98 heavy chain protein is overexpressed in non-small cell lung cancer and is a potential target for CAR T-cell therapy.

Chimeric antigen receptor (CAR) T cells are effective against hematological cancers, but are less effective against solid tumors such as non-small cell lung cancer (NSCLC). One of the reasons is that only a few cell surface targets specific for NSCLC cells have been identified. Here, we report that CD98 heavy chain (hc) protein is overexpressed on the surface of NSCLC cells and is a potential target for CAR T cells against NSCLC. Screening of over 10,000 mAb clones raised against NSCLC cell lines showed that mAb H2A011 bound to NSCLC cells but not normal lung epithelial cells. H2A011 recognized CD98hc. Although CAR T cells derived from H2A011 could not be established presumably due to the high level of H2A011 reactivity in activated T cells, those derived from the anti-CD98hc mAb R8H283, which had been shown to lack reactivity with CD98hc glycoforms expressed on normal hematopoietic cells and some normal tissues, were successfully developed. R8H283 specifically reacted with NSCLC cells in six of 15 patients. R8H283-derived CAR T cells exerted significant anti-tumor effects in a xenograft NSCLC model in vivo. These results suggest that R8H283 CAR T cells may become a new therapeutic tool for NSCLC, although careful testing for off-tumor reactivity should be performed in the future.

Clinicopathological characteristics and prognosis of non-small cell lung cancer in Algeria: a single-center retrospective study.

BACKGROUND: Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer-related death in men in Algeria. Little is known about the characteristics of lung cancer in Algeria. This study aimed to determine the clinicopathological characteristics and prognosis of non-small cell lung cancer (NSCLC) patients in Algeria. METHODS: This retrospective study was performed on 269 pathologically confirmed cases of NSCLC at the Benbadis University Hospital of Constantine (2015-2023). Of these, 95 patients were included in the survival analysis. The clinicopathological and outcome data were investigated based on the patients' medical records. RESULTS: This study showed male predominance with sex ratio of 5.7, with a mean age of 61.8 years. Histologically, 67.3% of cases had adenocarcinoma (ADC) and 22.7% squamous cell carcinoma (SCC). ADC and SCC occurred more frequently in female (p = 0.02) and male (p = 0.003) patients, respectively. Smoking was estimated at 82.2% in men. Over 28% were non-smokers, of which 50.7% were women, and presented at younger age (p = 0.04). Most of our patients (75.5%) have an advanced stage at diagnosis. Around 70% of patients underwent chemotherapy (CT) as first-line treatment, with medians diagnostic and treatment delays of 4 and 1 months, respectively. The median overall survival (mOS) was estimated at 10.3 and 6.7 months in I-III and IV stages, respectively. Other factors that negatively impact OS were age > 65 years (p = 0.01), and the presence of symptoms (p = 0.005) and comorbidity (p = 0.004) in stage IV, and delayed treatment (p = 0.03) and receiving CT alone (p = 0.03) in stages I-III cases. Medians progression free survival (mPFS) in stage IV, III, and II patients were 4.1, 5.2, and 8.3 months, respectively, and negatively affected by the comorbidity (stage IV, p = 0.03) and receiving CT alone (stages II-III, p = 0.03). CONCLUSIONS: NSCLC presents at an early age and advanced stage in Algerian patients. ADC is the most frequent histological subtype and smoking remains the most important risk factor in men. Furthermore, the prognostic factors affecting survival are stage, age, comorbidity, symptoms, and treatment. Thus, tobacco control, early detection program, and access to novel therapies may be the best strategies to reduce NSCLC morbidity and mortality.

The influence of nutritional status, lipid profile, leptin concentration and polymorphism of genes encoding leptin and neuropeptide Y on the effectiveness of immunotherapy in advanced NSCLC patients.

INTRODUCTION: Neuropeptide Y is a neurotransmitter in the nervous system and belongs to the orexigenic system that increases appetite. Its excessive secretion leads to obesity. Leptin is a pro-inflammatory adipokine (produced in adipose tissue) induced in obesity and may mediate increased antitumor immunity in obesity (including the promotion of M1 macrophages). Leptin and neuropeptide Y gene polymorphisms, causing increased leptin levels and the occurrence of obesity, and lipid profile disorders, may increase the effectiveness of immunotherapy. MATERIALS AND METHODS: In 121 patients with advanced NSCLC without mutations in the EGFR gene and rearrangements of the ALK and ROS1 genes, undergoing immunotherapy (1st and 2nd line of treatment) or chemoimmunotherapy (1st line of treatment), we assessed BMI, lipid profile, PD-L1 expression on cancer cells using the immunohistochemical method (clone SP263 antibody), leptin concentration in blood serum by ELISA, polymorphisms in the promoter region of the genes for leptin (LEP) and neuropeptide Y (NPY) by real-time PCR. RESULTS: Leptin concentration was significantly higher in obese patients than in patients with normal or low weight (p = 0.00003) and in patients with disease stabilization compared to patients with progression observed during immunotherapy (p = 0.012). Disease control occurred significantly more often in patients with the GA or AA genotype than patients with the GG genotype in the rs779039 polymorphism of the LEP gene. The median PFS in the entire study group was five months (95% CI: 3-5.5), and the median OS was 12 months (95% CI: 8-16). Median PFS was highest in patients with TPS ≥ 50% (6.5 months) and in obese patients (6.6 months). Obese patients also had a slightly longer median OS compared to other patients (23.8 vs. 13 months). The multivariate Cox logistic regression test showed that the only factor reducing the risk of progression was TPS ≥ 50% (HR = 0.6068, 95% CI: 0.4001-0.9204, p = 0, 0187), and the only factor reducing the risk of death was high leptin concentration (HR = 0.6743, 95% CI: 0.4243-1.0715, p = 0.0953). CONCLUSION: Assessment of nutritional status, serum leptin concentration and polymorphisms in the LEP gene may be of additional importance in predicting the effectiveness of immunotherapy and chemoimmunotherapy in patients with advanced NSCLC.

GWO+RuleFit: rule-based explainable machine-learning combined with heuristics to predict mid-treatment FDG PET response to chemoradiation for locally advanced non-small cell lung cancer.

Objective.Vital rules learned from fluorodeoxyglucose positron emission tomography (FDG-PET) radiomics of tumor subregional response can provide clinical decision support for precise treatment adaptation. We combined a rule-based machine learning (ML) model (RuleFit) with a heuristic algorithm (gray wolf optimizer, GWO) for mid-chemoradiation FDG-PET response prediction in patients with locally advanced non-small cell lung cancer.Approach.Tumors subregions were identified using K-means clustering. GWO+RuleFit consists of three main parts: (i) a random forest is constructed based on conventional features or radiomic features extracted from tumor regions or subregions in FDG-PET images, from which the initial rules are generated; (ii) GWO is used for iterative rule selection; (iii) the selected rules are fit to a linear model to make predictions about the target variable. Two target variables were considered: a binary response measure (ΔSUVmean ⩾ 20% decline) for classification and a continuous response measure (ΔSUVmean) for regression. GWO+RuleFit was benchmarked against common ML algorithms and RuleFit, with leave-one-out cross-validated performance evaluated by the area under the receiver operating characteristic curve (AUC) in classification and root-mean-square error (RMSE) in regression.Main results.GWO+RuleFit selected 15 rules from the radiomic feature dataset of 23 patients. For treatment response classification, GWO+RuleFit attained numerically better cross-validated performance than RuleFit across tumor regions and sets of features (AUC: 0.58-0.86 vs. 0.52-0.78,p= 0.170-0.925). GWO+Rulefit also had the best or second-best performance numerically compared to all other algorithms for all conditions. For treatment response regression prediction, GWO+RuleFit (RMSE: 0.162-0.192) performed better numerically for low-dimensional models (p= 0.097-0.614) and significantly better for high-dimensional models across all tumor regions except one (RMSE: 0.189-0.219,p< 0.004).Significance. The GWO+RuleFit selected rules were interpretable, highlighting distinct radiomic phenotypes that modulated treatment response. GWO+Rulefit achieved parsimonious models while maintaining utility for treatment response prediction, which can aid clinical decisions for patient risk stratification, treatment selection, and biologically driven adaptation. Clinical trial: NCT02773238.

Mapping the landscape and exploring trends in macrophage-related research within non-small cell lung cancer: a comprehensive bibliometric analysis.

Background: Macrophages play a pivotal role in the research landscape of non-small cell lung cancer (NSCLC), contributing significantly to understanding tumor progression, treatment resistance, and immunotherapy efficacy. In this study, we utilized bibliometric techniques to analyze shifts in research hotspots and trends within the field, while also forecasting future research directions. These insights aim to offer guidance for both clinical therapeutic interventions and foundational scientific inquiries. Methods: All publications were released between 1993 and 2023 and focus on research pertaining to macrophages in the field of NSCLC. The articles were identified from the Web of Science Core Collection and analyzed using VOSviewer 1.6.19, CiteSpace 6.2.R2, and Scimago Graphica 1.0.35. Result: A total of 361 articles authored by 3,072 researchers from 48 countries were included in the analysis. TAMs have gained increasing attention for their role in NSCLC development and as potential therapeutic targets. Modulating TAM behavior may offer avenues to suppress tumor growth and drug resistance, improving patient outcomes. International collaboration, particularly between China and the United States, accelerates progress in NSCLC research, benefiting patients worldwide. The research hotspot revolves around understanding the role of macrophages in immunotherapy, focusing on their contribution to tumor progression, therapeutic resistance, and potential as therapeutic targets in NSCLC. Conclusions: The therapeutic significance of macrophages in the field of NSCLC is gaining increasing attention and recognition, highlighting their potential as key players in the development of novel treatment strategies. Future research will focus on understanding TAM molecular mechanisms, interactions with immune cells, and exploring novel therapies, with the aim of improving NSCLC treatment outcomes.

Advancing non-small cell lung cancer treatment: the power of combination immunotherapies.

Non-small cell lung cancer (NSCLC) remains an unsolved challenge in oncology, signifying a substantial global health burden. While considerable progress has been made in recent years through the emergence of immunotherapy modalities, such as immune checkpoint inhibitors (ICIs), monotherapies often yield limited clinical outcomes. The rationale behind combining various immunotherapeutic or other anticancer agents, the mechanistic underpinnings, and the clinical evidence supporting their utilization is crucial in NSCLC therapy. Regarding the synergistic potential of combination immunotherapies, this study aims to provide insights to help the landscape of NSCLC treatment and improve clinical outcomes. In addition, this review article discusses the challenges and considerations of combination regimens, including toxicity management and patient selection.

Orthotopic Models Using New, Murine Lung Adenocarcinoma Cell Lines Simulate Human Non-Small Cell Lung Cancer Treated with Immunotherapy.

Understanding tumor-host immune interactions and the mechanisms of lung cancer response to immunotherapy is crucial. Current preclinical models used to study this often fall short of capturing the complexities of human lung cancer and lead to inconclusive results. To bridge the gap, we introduce two new murine monoclonal lung cancer cell lines for use in immunocompetent orthotopic models. We demonstrate how our cell lines exhibit immunohistochemical protein expression (TTF-1, NapA, PD-L1) and common driver mutations (KRAS, p53, and p110α) seen in human lung adenocarcinoma patients, and how our orthotopic models respond to combination immunotherapy in vivo in a way that closely mirrors current clinical outcomes. These new lung adenocarcinoma cell lines provide an invaluable, clinically relevant platform for investigating the intricate dynamics between tumor and the immune system, and thus potentially contributes to a deeper understanding of immunotherapeutic approaches to lung cancer treatment.

Comparison of treatment outcome between first-line combination immunotherapy (anti-PD-L1 or anti-PD1) with or without chemotherapy and chemotherapy alone in advanced non-small cell lung cancer patients in tertiary care hospital.

BACKGROUND: Despite promising outcomes of first-line immunotherapy with or without chemotherapy in advanced non-small cell lung cancer (NSCLC), limited accessibility due to reimbursement was remain the problem in low to middle income countries. This study aimed to evaluate real-world effectiveness of immunotherapy in patients with advanced NSCLC in Northern Thailand. METHOD: A retrospective, single-centered cohort, was conducted. Patients with advanced NSCLC who underwent PD-L1 testing (excluding EGFR and ALK mutations) and were treated with immunotherapy or without chemotherapy or chemotherapy alone were included. The primary end point was progression-free survival (PFS). The secondary endpoints were overall survival (OS), objective response rate (ORR), and adverse events. RESULTS: A total of 123 patients, of which 21 patients received immunotherapy-based regimen and 102 patients received chemotherapy alone. The median PFS was 11.9 months in immunotherapy-based group compared to 5.93 months in the chemotherapy group, with a. hazard ratio (HR) of 0.4 (95% confidence interval [CI], 0.23 to 0.68; p = 0.001). Similarly, the median OS was 26.68 months in the immunotherapy-based group and 11.21 months in the chemotherapy group, with HR of 0.42 (95% CI 0.22-0.8; p = 0.009). ORRs were significantly higher in the immunotherapy-based group, with 65% of patients showing a response compared to 32% in the chemotherapy group (p = 0.006). CONCLUSION: The result of this real-world study in patients with advanced stage NSCLC indicate that first-line immunotherapy-based regimen was associated with significantly greater PFS, OS, and ORR with a safety profile consistent with pivotal studies.

Current status and progress of PD-L1 detection: guiding immunotherapy for non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths and represents a substantial disease burden worldwide. Immune checkpoint inhibitors combined with chemotherapy are the standard first-line therapy for advanced NSCLC without driver mutations. Programmed death-ligand 1 (PD-L1) is currently the only approved immunotherapy marker. PD-L1 detection methods are diverse and have developed rapidly in recent years, such as improved immunohistochemical detection methods, the application of liquid biopsy in PD-L1 detection, genetic testing, radionuclide imaging, and the use of machine learning methods to construct PD-L1 prediction models. This review focuses on the detection methods and challenges of PD-L1 from different sources, and discusses the influencing factors of PD-L1 detection and the value of combined biomarkers. Provide support for clinical screening of immunotherapy-advantage groups and formulation of personalized treatment decisions.

[Comparison of Short-term Efficacy of Neoadjuvant Immunotherapy Combined with Chemotherapy and Surgery Alone for Locally Advanced Resectable 
Non-small Cell Lung Cancer].

BACKGROUND: Lung cancer is the cancer with the highest incidence and mortality rates in China, and non-small cell lung cancer (NSCLC) accounts for 80%-85% of all malignant lung tumors. Currently, surgical treatment remains the primary treatment modality for lung cancer. In recent years, the effectiveness of immune checkpoint inhibitors for NSCLC has become a consensus, and neoadjuvant immunochemotherapy (nICT) has shown promising efficacy and safety in early to intermediate stage NSCLC. However, there are fewer studies related to nICT for locally advanced NSCLC. This study aims to evaluate the efficacy and safety of nICT therapy in locally advanced resectable NSCLC. METHODS: 85 confirmed resectable stage IIIA and IIIB patients treated in the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from January 2021 to April 2024, were divided into the nICT group (n=32) and the surgery alone group (n=53). Clinical baseline data, perioperative indicators, postoperative complications, imaging response rate, pathological response rate, incidence of adverse events, and quality of life were compared between the two groups. RESULTS: There were no statistically significant differences in clinical baseline data between the two groups (P>0.05). Incidence of choosing thoracotomy was higher in the nICT group than in the surgery alone group (P=0.002). There were no significant differences in surgical time, intraoperative blood loss, number of dissected lymph nodes, duration of chest tube placement, postoperative hospital stay, and R0 resection rate between the two groups (P>0.05). The overall incidence of postoperative complications was 31.25% in the nICT group and 22.64% in the surgery alone group, with no statistically significant difference (P=0.380). In the nICT group, the objective response rate (ORR) was 84.38%, with 5 cases of complete response (CR)(15.63%), 22 cases of partial response (PR)(68.75%), 15 cases of pathological response rate (pCR)(46.88%), and 11 cases of major pathological reaponse (MPR) (34.38%). During nICT treatment, 12 cases (37.50%) experienced grade 3 treatment-related adverse events, no death induced by adverse events or immune related adverse events. Moreover, the symptoms of the patients were improved after nICT treatment. CONCLUSIONS: Neoadjuvant immunochemotherapy shows promising efficacy in locally advanced resectable NSCLC, with manageable treatment-related adverse events. It is a safe and feasible neoadjuvant treatment modality for locally advanced resectable NSCLC.

[Research Progress on Predictive Biomarkers of Immunotherapy Efficacy
in Non-small Cell Lung Cancer].

Lung cancer is one of the most common malignant tumors in the world, of which non-small cell lung cancer (NSCLC) is the majority. The emergence of immune checkpoint inhibitors (ICIs) has greatly changed the treatment strategy of NSCLC and improved the prognosis of patients. However, in reality, only a small number of patients can achieve long-term benefit. Therefore, the identification of reliable predictive biomarkers is essential for the selection of treatment modalities. With the development of molecular biology and genome sequencing technology in recent years, as well as the in-depth understanding of tumor and its host immune microenvironment, research on biomarkers has emerged in an endless stream. This review focuses on the predictive biomarkers of immunotherapy efficacy in NSCLC, in order to provide some guidance for precision immunotherapy.
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Role of drug-eluting bead bronchial arterial chemoembolisation in the treatment of non-small cell lung cancer: protocol for a meta-analysis.

BACKGROUND: Non-small cell lung cancer (NSCLC) has a poor prognosis. Transvascular intervention is an important approach for treating NSCLC. Drug-eluting bead bronchial artery chemoembolisation (DEB-BACE) is a technique of using DEBs loaded with chemotherapeutic drugs for BACE. This study aims to conduct a meta-analysis to comprehensively assess the effectiveness and safety of DEB-BACE in treating NSCLC and investigate a novel therapeutic strategy for NSCLC. METHODS AND ANALYSIS: Wanfang, China National Knowledge Infrastructure, Medline (via PubMed), Cochrane Library, Scopus and Embase databases will be searched in November 2024. A meta-analysis will be conducted to assess the effectiveness and safety of DEB-BACE in the treatment of NSCLC. The following keywords will be applied: "Carcinoma, Non-Small-Cell Lung", "Non-Small Cell Lung Cancer", "Drug-Eluting Bead Bronchial Arterial Chemoembolization" and "drug-eluting beads". Reports in Chinese or English comparing the efficacy of DEB-BACE with other NSCLC treatment options will be included. Case reports, single-arm studies, conference papers, abstracts without full text and reports published in languages other than English and Chinese will not be considered. The Cochrane Handbook for Systematic Reviews of Interventions will be used to independently assess the risk of bias for each included study. In case of significant heterogeneity between studies, possible sources of heterogeneity will be explored through subgroup and sensitivity analysis. For the statistical analysis of the data, RevMan V.5.3 will be used. ETHICS AND DISSEMINATION: This meta-analysis will seek publication in a peer-reviewed journal on completion. Ethical approval is not required for this study as it is a database-based study. PROSPERO REGISTRATION NUMBER: CRD42023411392.

Immunotherapy for non-small cell lung cancer in the elderly population: a generic protocol.

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To evaluate the effectiveness and safety of immune checkpoint inhibitors (ICI) as monotherapy or in combination compared to standard of care for elderly people (≥ 65 years) with non-small cell lung cancer (NSCLC).

The role of immunotherapy in early-stage and metastatic NSCLC.

In the past decade we have seen new advances and thus remarkable progress in the therapeutic options for non-small cell lung cancer (NSCLC). Among cytostatic therapies with new approaches in molecularly targeted therapies, we see new developments in a wide range of applications for immunotherapies. In this review we discuss the new potential modalities for the use of immune checkpoint inhibitors (ICIs) in the frontlines, including in early-stage (perioperative) and metastatic settings. The perioperative use of ICIs in both neoadjuvant and adjuvant settings may show benefits for patients. In early-stage NSCLC (from stage IIB and above) a multimodality approach is recommended as the gold standard for the treatment. After surgical resection platinum-based adjuvant chemotherapy has been the standard of care for many years. Based on the benefit of disease-free survival, the approval of adjuvant atezolizumab and adjuvant pembrolizumab was a significant breakthrough. In the metastatic setting, the use of immune checkpoint inhibitors with chemotherapy, regardless of PD-L1 expression or ICI alone (PD-L1 expression equal to or greater than 50%) also improves overall survival and progression-free survival.